Relevant bibliographies by topics / Data censoring

Academic literature on the topic 'Data censoring'

Author: Grafiati
Published: 14 March 2023

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Contents

Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'Data censoring.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Journal articles on the topic "Data censoring"

1

Moradian, Hoora, Denis Larocque, and François Bellavance. "Survival forests for data with dependent censoring." Statistical Methods in Medical Research 28, no. 2 (August 24, 2017): 445–61. http://dx.doi.org/10.1177/0962280217727314.

Full text
Abstract:
Tree-based methods are very powerful and popular tools for analysing survival data with right-censoring. The existing methods assume that the true time-to-event and the censoring times are independent given the covariates. We propose different ways to build survival forests when dependent censoring is suspected, by using an appropriate estimator of the survival function when aggregating the individual trees and/or by modifying the splitting rule. The appropriate estimator used in this paper is the copula-graphic estimator. We also propose a new method for building survival forests, called p-forest, that may be used not only when dependent censoring is suspected, but also as a new survival forest method in general. The results from a simulation study indicate that these modifications improve greatly the estimation of the survival function in situations of dependent censoring. A real data example illustrates how the proposed methods can be used to perform a sensitivity analysis.
APA, Harvard, Vancouver, ISO, and other styles
2

Willems, SJW, A. Schat, MS van Noorden, and M. Fiocco. "Correcting for dependent censoring in routine outcome monitoring data by applying the inverse probability censoring weighted estimator." Statistical Methods in Medical Research 27, no. 2 (March 17, 2016): 323–35. http://dx.doi.org/10.1177/0962280216628900.

Full text
Abstract:
Censored data make survival analysis more complicated because exact event times are not observed. Statistical methodology developed to account for censored observations assumes that patients’ withdrawal from a study is independent of the event of interest. However, in practice, some covariates might be associated to both lifetime and censoring mechanism, inducing dependent censoring. In this case, standard survival techniques, like Kaplan–Meier estimator, give biased results. The inverse probability censoring weighted estimator was developed to correct for bias due to dependent censoring. In this article, we explore the use of inverse probability censoring weighting methodology and describe why it is effective in removing the bias. Since implementing this method is highly time consuming and requires programming and mathematical skills, we propose a user friendly algorithm in R. Applications to a toy example and to a medical data set illustrate how the algorithm works. A simulation study was carried out to investigate the performance of the inverse probability censoring weighted estimators in situations where dependent censoring is present in the data. In the simulation process, different sample sizes, strengths of the censoring model, and percentages of censored individuals were chosen. Results show that in each scenario inverse probability censoring weighting reduces the bias induced in the traditional Kaplan–Meier approach where dependent censoring is ignored.
APA, Harvard, Vancouver, ISO, and other styles
3

Emura, Takeshi, and Yi-Hau Chen. "Gene selection for survival data under dependent censoring: A copula-based approach." Statistical Methods in Medical Research 25, no. 6 (July 11, 2016): 2840–57. http://dx.doi.org/10.1177/0962280214533378.

Full text
Abstract:
Dependent censoring arises in biomedical studies when the survival outcome of interest is censored by competing risks. In survival data with microarray gene expressions, gene selection based on the univariate Cox regression analyses has been used extensively in medical research, which however, is only valid under the independent censoring assumption. In this paper, we first consider a copula-based framework to investigate the bias caused by dependent censoring on gene selection. Then, we utilize the copula-based dependence model to develop an alternative gene selection procedure. Simulations show that the proposed procedure adjusts for the effect of dependent censoring and thus outperforms the existing method when dependent censoring is indeed present. The non-small-cell lung cancer data are analyzed to demonstrate the usefulness of our proposal. We implemented the proposed method in an R “compound.Cox” package.
APA, Harvard, Vancouver, ISO, and other styles
4

Sparks, R. S., G. Sutton, P. Toscas, and J. T. Ormerod. "Modelling Inverse Gaussian Data with Censored Response Values: EM versus MCMC." Advances in Decision Sciences 2011 (July 5, 2011): 1–8. http://dx.doi.org/10.1155/2011/571768.

Full text
Abstract:
Low detection limits are common in measure environmental variables. Building models using data containing low or high detection limits without adjusting for the censoring produces biased models. This paper offers approaches to estimate an inverse Gaussian distribution when some of the data used are censored because of low or high detection limits. Adjustments for the censoring can be made if there is between 2% and 20% censoring using either the EM algorithm or MCMC. This paper compares these approaches.
APA, Harvard, Vancouver, ISO, and other styles
5

Sun, Yanqing, and Jimin Lee. "Testing independent censoring for longitudinal data." Statistica Sinica 21, no. 3 (June 1, 2011): 1315–39. http://dx.doi.org/10.5705/ss.2009.251.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

D’Arrigo, Graziella, Daniela Leonardis, Samar Abd ElHafeez, Maria Fusaro, Giovanni Tripepi, and Stefanos Roumeliotis. "Methods to Analyse Time-to-Event Data: The Kaplan-Meier Survival Curve." Oxidative Medicine and Cellular Longevity 2021 (September 20, 2021): 1–7. http://dx.doi.org/10.1155/2021/2290120.

Full text
Abstract:
Studies performed in the field of oxidative medicine and cellular longevity frequently focus on the association between biomarkers of cellular and molecular mechanisms of oxidative stress as well as of aging, immune function, and vascular biology with specific time to event data, such as mortality and organ failure. Indeed, time-to-event analysis is one of the most important methodologies used in clinical and epidemiological research to address etiological and prognostic hypotheses. Survival data require adequate methods of analyses. Among these, the Kaplan-Meier analysis is the most used one in both observational and interventional studies. In this paper, we describe the mathematical background of this technique and the concept of censoring (right censoring, interval censoring, and left censoring) and report some examples demonstrating how to construct a Kaplan-Meier survival curve and how to apply this method to provide an answer to specific research questions.
APA, Harvard, Vancouver, ISO, and other styles
7

Gómez, Guadalupe, M. Luz Calle, Ramon Oller, and Klaus Langohr. "Tutorial on methods for interval-censored data and their implementation in R." Statistical Modelling 9, no. 4 (December 2009): 259–97. http://dx.doi.org/10.1177/1471082x0900900402.

Full text
Abstract:
Interval censoring is encountered in many practical situations when the event of interest cannot be observed and it is only known to have occurred within a time window. The theory for the analysis of interval-censored data has been developed over the past three decades and several reviews have been written. However, it is still a common practice in medical and reliability studies to simplify the interval censoring structure of the data into a more standard right censoring situation by, for instance, imputing the midpoint of the censoring interval. The availability of software for right censoring might well be the main reason for this simplifying practice. In contrast, several methods have been developed to deal with interval-censored data and the corresponding algorithms to make the procedures feasible are scattered across the statistical software or remain behind the personal computers of many researchers. The purpose of this tutorial is to present, in a pedagogical and unified manner, the methodology and the available software for analyzing interval-censored data. The paper covers frequentist non-parametric, parametric and semiparametric estimating approaches, non-parametric tests for comparing survival curves and a section on simulation of interval-censored data. The methods and the software are described using the data from a dental study.
APA, Harvard, Vancouver, ISO, and other styles
8

Nagy, M., and Adel Fahad Alrasheedi. "Estimations of Generalized Exponential Distribution Parameters Based on Type I Generalized Progressive Hybrid Censored Data." Computational and Mathematical Methods in Medicine 2022 (March 29, 2022): 1–15. http://dx.doi.org/10.1155/2022/8058473.

Full text
Abstract:
Type I generalized progressive hybrid censoring scheme is a combination of Type I and Type II progressive hybrid censoring schemes, and it is one of the most recent advancements in data censoring. In this article, based on Type I generalized progressive hybrid censoring data from generalized exponential distribution, the maximum likelihood and Bayesian estimators of distribution’s parameters as well as the reliability and hazard functions are approximately calculated. Also, the credible interval estimators of these quantities are obtained. Since these quantities cannot be obtained in closed form, so simulation and analysis using a Monte Carlo simulation study with Gibbs sampling are taken. Finally, an illustrative example using real data set is presented to compare the proposed procedures presented and developed here.
APA, Harvard, Vancouver, ISO, and other styles
9

Belviso, Nicholas, Yichi Zhang, Herbert D. Aronow, Richard Wyss, Marilyn Barbour, Stephen Kogut, Oluwadolapo D. Lawal, Si Y. Zhan, Prabhani Kuruppumullage Don, and Xuerong Wen. "Addressing Posttreatment Selection Bias in Comparative Effectiveness Research, Using Real-World Data and Simulation." American Journal of Epidemiology 191, no. 2 (October 6, 2021): 331–40. http://dx.doi.org/10.1093/aje/kwab242.

Full text
Abstract:
Abstract To examine methodologies that address imbalanced treatment switching and censoring, 6 different analytical approaches were evaluated under a comparative effectiveness framework: intention-to-treat, as-treated, intention-to-treat with censor-weighting, as-treated with censor-weighting, time-varying exposure, and time-varying exposure with censor-weighting. Marginal structural models were employed to address time-varying exposure, confounding, and possibly informative censoring in an administrative data set of adult patients who were hospitalized with acute coronary syndrome and treated with either clopidogrel or ticagrelor. The effectiveness endpoint included first occurrence of death, myocardial infarction, or stroke. These methodologies were then applied across simulated data sets with varying frequencies of treatment switching and censoring to compare the effect estimate of each analysis. The findings suggest that implementing different analytical approaches has an impact on the point estimate and interpretation of analyses, especially when censoring is highly unbalanced.
APA, Harvard, Vancouver, ISO, and other styles
10

Belviso, Nicholas, Yichi Zhang, Herbert D. Aronow, Richard Wyss, Marilyn Barbour, Stephen Kogut, Oluwadolapo D. Lawal, Si Y. Zhan, Prabhani Kuruppumullage Don, and Xuerong Wen. "Addressing Posttreatment Selection Bias in Comparative Effectiveness Research, Using Real-World Data and Simulation." American Journal of Epidemiology 191, no. 2 (October 6, 2021): 331–40. http://dx.doi.org/10.1093/aje/kwab242.

Full text
Abstract:
Abstract To examine methodologies that address imbalanced treatment switching and censoring, 6 different analytical approaches were evaluated under a comparative effectiveness framework: intention-to-treat, as-treated, intention-to-treat with censor-weighting, as-treated with censor-weighting, time-varying exposure, and time-varying exposure with censor-weighting. Marginal structural models were employed to address time-varying exposure, confounding, and possibly informative censoring in an administrative data set of adult patients who were hospitalized with acute coronary syndrome and treated with either clopidogrel or ticagrelor. The effectiveness endpoint included first occurrence of death, myocardial infarction, or stroke. These methodologies were then applied across simulated data sets with varying frequencies of treatment switching and censoring to compare the effect estimate of each analysis. The findings suggest that implementing different analytical approaches has an impact on the point estimate and interpretation of analyses, especially when censoring is highly unbalanced.
APA, Harvard, Vancouver, ISO, and other styles
More sources

Dissertations / Theses on the topic "Data censoring"

1

López, Segovia Lucas. "Survival data analysis with heavy-censoring and long-term survivors." Doctoral thesis, Universitat Politècnica de Catalunya, 2014. http://hdl.handle.net/10803/276170.

Full text
Abstract:
The research developed in this thesis has been motivated by two datasets, which are introduced in Chapter 2, one concerning the mortality of calves from birth to weaning while the other refers to survival of patients diagnosed with melanoma. In both cases the percentage of censoring is high, it is very likely to have immune individuals and proper analysis accounting for the possibility of a not negligible proportion of cured individuals has to be performed. Cure models are introduced in Chapter 3 together with the available software to perform the analysis, such as SAS, R and STATA, among others. We investigate the effect that heavy censoring could have on the estimation of the regression coefficients in the Cox model via a simulation study which considers several scenarios given by different sample sizes and censoring levels, results presented in Chapter 4. An application of a mixture cure model, which includes a Cox model for the survival part and a logistic model for the cure part of patients with melanoma, is described in Chapter 5. In addition, discussions about test for sufficient follow-up and censoring levels are also presented for this data. The data analysis is carried out using the macro in SAS: PSPMCM. The results show that patients with Sentinel Lymph Node (SLN): negative status to biopsy, Clark's level of invasion I-III, Histopathological of Malignant Melanoma subtype: Superficial Spreading Melanoma (SSM), younger than 46 years, and female, are more likely to be cured, whereas patients with melanoma in head and neck, Breslow's micrometric depth = 4mm and ulceration presents, are patients with increased risk of relapse. In particular, patients with Breslow's micrometric depth = 4mm are at higher risk for death. Furthermore, since mixture cure models do not have the property of proportional hazards for the entire population, they can be extended to non-mixture cure models by means of nonlinear transformation models as defined in Tsodikov (2003). An application of the extended hazard models is presented for the mortality of calves in Chapter 6. The methodology allows to get estimates for the cure rate as well as for genetic and environmental effects for each herd. A relevant feature of the non-mixture cure models is that they model, separately, factors which could affect survival from those affecting the cure model, making the interpretation of these models relatively easy. Results are shown in section 6.3.1, and were obtained using the library NLTM of the statistical package R. The short (mortality) and long term (survivors) effects are determined for each factors, as well as its statistical significance in each herd. For example in the herd 1, we find that calving month and difficulty at birth is the set of statistically significant factors for the nonsusceptible (long-term survivors) proportion. Calves born in the period march-august have lower probability of survive than those born in September-February; and the probability of survive is much lower for those that have difficulties at calving for herd 1. For herd 7 the effect of difficulty at calving is different as for herd 1, here only is significative the category strongly assisted. Calves that born from strongly assisted calving have lower probability of survive that calves from without assistance calving. Regarding short-term (mortality) effects, we only find statistically significant predictors in herd 7 where the risk of death of calves born from older mothers, hence with a longer reproductive life, is twice the risk of death of calves born from younger mothers. The obtained results have been compared with those coming from standard survival models. It is also included, a discussion about the likely erroneous conclusions that may yield from standard models, without taking into account the cure.
La investigación desarrollada en esta tesis ha sido motivada por dos conjuntos de datos, introducidos en el capítulo 2, uno relacionado con la mortalidad de terneros desde el nacimiento hasta el destete, el otro con la supervivencia de los pacientes diagnosticados con melanoma. En ambos el porcentaje de censura es alto, la presencia de individuos inmunes es probable y un modelo que tome en cuenta esta proporción no despreciable de individuos inmunes será el más apropiado para su análisis. Los modelos de cura combinados se introducen en el capítulo 3 junto con el software disponible para realizar el análisis, tales como SAS, R y STATA, entre otros. Investigamos el efecto que una alta censura podría tener en la estimación de los coeficientes de regresión en el modelo de Cox, vía estudios de simulación para varios escenarios dado por diferentes tamaños de muestra y niveles de censura. Los resultados son presentados en el capítulo 4. La aplicación de un modelo de cura combinado, que incluye un modelo de Cox para la parte de supervivencia y un modelo logístico para la parte de cura de los pacientes con melanoma, se describe en el capítulo 5. Se presentan discusiones acerca de la prueba para el seguimiento suficiente y niveles de censura. El análisis se realiza mediante la macro de SAS: PSPMCM. Los resultados muestran que los pacientes con ganglios linfáticos Centinela (SLN): con biopsia negativa, nivel de Clark de invasión I-III, subtipo histopatológica de Melanoma maligno: con extensión superficial (SSM), menores de 46 años y mujer, tienen más probabilidades de ser curados, mientras que pacientes con melanoma en cabeza o cuello, Breslow micrométrico mayor o igual a 4mm de profundidad y ulceración presente, son pacientes con mayor riesgo de recaída. En particular, pacientes con Breslow micrométrico mayor o igual 4mm de profundidad están en riesgo de muerte. Por otra parte, como los modelos de cura combinados no tienen la propiedad de riesgos proporcionales para la población, estos pueden ser extendidos a modelos de cura no combinados via modelos de transformación no lineal definidos en Tsodikov (2003). Se presenta aplicación de los modelos de riesgo extendido para los datos de mortalidad de terneros en el capítulo 6. La metodología permite obtener estimaciones de la proporción de cura, así como los efectos de los factores genéticos y ambientales para cada rebaño. Una característica relevante de los modelos de cura no combinados es que modelan por separado, los factores que podrían afectar la supervivencia de aquellos que afectan el modelo de cura, y la interpretación es relativamente fácil. Los resultados se muestran en la sección 6.3.1 y se obtuvieron utilizando la librería NLTM del paquete estadístico R. Los efectos a corto plazo (mortalidad) y a largo plazo (sobrevivientes) son determinados para cada factor, así como su significación estadística en cada rebaño. Por ejemplo en el rebaño 1, encontramos que el mes del parto y la dificultad al nacer son estadísticamente significativos para la proporción no susceptible (sobrevivientes a largo plazo). Terneros nacidos en el periodo Marzo-Agosto tienen baja probabilidad de sobrevivir que aquellos nacidos en septiembre y febrero; y la probabilidad de sobrevivir es mucho menor para aquellos que tienen dificultades en el parto. Para el rebaño 7 el efecto de la dificultad al parto es diferente al rebaño 1, sólo es significativa la categoría fuertemente asistida. Los terneros de partos fuertemente asistidos tienen menor probabilidad de sobrevivir que aquellos sin asistencia. Respecto a los efectos a corto plazo (mortalidad), sólo encontramos predictores estadísticamente significativos en el rebaño 7 donde el riesgo de muerte de los nacidos de madres con una larga vida reproductiva, están al doble del riesgo de muerte que los nacidos de madres más jóvenes. Se incluye una discusión sobre las conclusiones erróneas que pueden obtenerse de los modelos estándar sino se toma en cuenta la cura.
APA, Harvard, Vancouver, ISO, and other styles
2

Xiao, Tao. "Bayesian Threshold Regression for Current Status Data with Informative Censoring." The Ohio State University, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=osu1438272888.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Chiung-Yu, Huang. "Modeling and estimation for recurrent event data with dependent censoring." Available to US Hopkins community, 2002. http://wwwlib.umi.com/dissertations/dlnow/3048475.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Raikou, Maria. "Estimating medical care costs : an examination under conditions of censoring." Thesis, City University London, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.269356.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Younger, Jaime. "Goodness-of-Fit for Length-Biased Survival Data with Right-Censoring." Thesis, Université d'Ottawa / University of Ottawa, 2012. http://hdl.handle.net/10393/20670.

Full text
Abstract:
Cross-sectional surveys are often used in epidemiological studies to identify subjects with a disease. When estimating the survival function from onset of disease, this sampling mechanism introduces bias, which must be accounted for. If the onset times of the disease are assumed to be coming from a stationary Poisson process, this bias, which is caused by the sampling of prevalent rather than incident cases, is termed length-bias. A one-sample Kolomogorov-Smirnov type of goodness-of-fit test for right-censored length-biased data is proposed and investigated with Weibull, log-normal and log-logistic models. Algorithms detailing how to efficiently generate right-censored length-biased survival data of these parametric forms are given. Simulation is employed to assess the effects of sample size and censoring on the power of the test. Finally, the test is used to evaluate the goodness-of-fit using length-biased survival data of patients with dementia from the Canadian Study of Health and Aging.
APA, Harvard, Vancouver, ISO, and other styles
6

Chatora, Tinashe. "Joint models for nonlinear longitudinal profiles in the presence of informative censoring." Doctoral thesis, University of Cape Town, 2018. http://hdl.handle.net/11427/29564.

Full text
Abstract:
Malaria is the parasitic disease which affects the most humans, with Plasmodium falciparum malaria being responsible for the majority of severe malaria and malaria related deaths. The asexual form of the parasite causes the signs and symptoms associated with malaria infection. The sexual form of the parasite, also known as a gametocyte, is the stage responsible for infectivity of the human host (patient) to the mosquito vector, and thus ongoing transmission of malaria and the spread of antimalarial drug resistance. Historically malaria therapeutic efficacy studies have focused mainly on the clearance of asexual parasites. However, malaria in a community can only be truly combated if a treatment program is implemented which is able to clear both asexual and sexual parasites effectively. In this thesis focus will be on the modeling of the key features of gametocytemia. Particular emphasis will be on the modeling of the time to gametocyte emergence, the density of gametocytes and the duration of gametocytemia. It is also of interest to investigate the impact of the administered treatment on the aforementioned features. Gametocyte data has several interesting features. Firstly, the distribution of gametocyte data is zero-inflated with a long tail to the right. The observed longitudinal gametocyte profile also has a nonlinear relationship with time. In addition, since most malaria intervention studies are not designed to optimally measure the evolution of the longitudinal gametocyte profile, there are very few observation points in the time period where the gametocyte profile is expected to peak. Gametocyte data collected from malaria intervention studies are also affected by informative censoring, which leads to incomplete gametocyte profiles. An example of informative censoring is when a patient who experiences treatment failure is “rescued", and withdrawn, from the study in order to receive alternative treatment. This patient can be considered to be in worse health as compared to the patients who remain in this study. There are also competing risks of exit from the study, as a patient can either experience treatment failure or be lost to follow-up. The above mentioned features of gametocyte data make it a statistically appealing dataset to analyze. In literature there are several modeling techniques which can be used to analyze individual features of the data. These techniques include standard survival models for modeling the time to gametocyte emergence and the duration of gametocytemia. The longitudinal nonlinear gametocyte profile would typically be modeled using nonlinear mixed effect models. These nonlinear models could then subsequently be extended to accommodate the zero-inflation in the data, by changing the underlying assumption around the distribution of the response variable. However, it is important to note that these standard techniques do not account for informative censoring. Failure to account for informative censoring leads to bias in parameter estimates. Joint modeling techniques can be used to account for informative censoring. The joint models applied in this thesis combined the longitudinal nonlinear gametocyte densities and the time to censoring due to either lost to follow up or treatment failure. The data analyzed in this thesis were collected from a series of clinical trials conducted be- tween 2002 and 2004 in Mozambique and the Mpumulanga province of South Africa. These trials were a part of the South East African Combination Antimalarial Therapy (SEACAT) evaluation of the phased introduction of combination anti-malarial therapy, nested in the Lubombo Spatial Development Initiative. The aim of these studies was primarily to measure the efficacy of sulfadoxine-pyrimethamine (SP) and a combination of artesunate and sulfadoxine-pyrimethamine (ACT), in eliminating asexual parasites in patients. The patients enrolled in the study had uncomplicated malaria, at a time of increasing resistance to sulfadoxine-pyrimethamine (SP) treatment. Blood samples were taken from patients during the course of 6 weeks on days 0, 1, 2, 3, 7, 14, 21, 28 and 42. Analysis of these blood samples provided longitudinal measurements for asexual 1 parasite densities, gametocyte densities, sulfadoxine drug concentrations and pyrimethamine drug concentrations. The gametocyte data collected in this study was initially analyzed using standard survival modeling techniques. Non-parametric Cox regression models and parametric survival models were applied to the data as part of this initial investigation. These models were used to investigate the factors which affected the time to gametocyte emergence. Subsequently, using the subset of the population which experienced gametocytemia, accelerated failure time models were applied to investigate the factors which affected the duration of gametocytemia. It is evident that the findings from the aforementioned duration investigation would only be able to provide valid duration estimates for patients who were detected to have gametocytemia. This work was extended to allow for population level duration estimates by incorporating the prevalence of gametocytemia into the estimation of duration, for generic patients with specific covariate patterns. The prevalence of gametocytemia was modeled using an underlying binomial distribution. The delta method was subsequently used to derive confidence intervals for the population level duration estimates which were associated with specific covariate patterns. An investigation into the factors affecting the early withdrawal of patients from the study was also conducted. Early exit from the study arose either through loss to follow-up (LTFU) or through treatment failure. The longitudinal gametocyte profile was modeled using joint modeling techniques. The resulting joint model used shared random effects to combine a Weibull survival model, describing the cause- specific hazards of patient exit from the study, with a nonlinear zero-adjusted gamma mixed effect model for the longitudinal gametocyte profile. This model was used to impute the incomplete gametocyte profiles, after adjusting for informative censoring. These imputed profiles were then used to estimate the duration of gametocytemia. It was found, in this thesis, that treatment had a very strong effect on the hazard of gametocyte emergence, density of gametocytes and the duration of gametocytemia. Patients who received a combination of sulfadoxine-pyrimethamine and artesunate were found to have significantly lower hazards of gametocyte emergence, lower predicted durations of gametocytemia and lower predicted longitudinal gametocyte densities as compared to patients who received sulfadoxine-pyrimethamine treatment only.
APA, Harvard, Vancouver, ISO, and other styles
7

Zhang, Yue. "Bayesian Cox Models for Interval-Censored Survival Data." University of Cincinnati / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1479476510362603.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Zhao, Yonggang. "The general linear model for censored data." The Ohio State University, 2003. http://rave.ohiolink.edu/etdc/view?acc_num=osu1054781042.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Cheng, Peiyao. "Efficiency of an Unbalanced Design in Collecting Time to Event Data with Interval Censoring." Scholar Commons, 2016. http://scholarcommons.usf.edu/etd/6479.

Full text
Abstract:
In longitudinal studies, the exact timing of an event often cannot be observed, and is usually detected at a subsequent visit, which is called interval censoring. Spacing of the visits is important when designing study with interval censored data. In a typical longitudinal study, the spacing of visits is usually the same across all subjects (balanced design). In this dissertation, I propose an unbalanced design: subjects at baseline are divided into a high risk group and a low risk group based on a risk factor, and the subjects in the high risk group are followed more frequently than those in the low risk group. Using a simple setting of a single binary exposure of interest (covariate) and exponentially distributed survival times, I derive the explicit formula for the asymptotic sampling variance of the estimate for the covariate effect. It shows that the asymptotic sampling variance can be simply reduced by increasing the number of examinations in the high risk group. The relative reduction tends to be greater when the baseline hazard rate in the high risk group is much higher than that in the low risk group and tends to be larger when the frequency of assessments in the low risk group is relatively sparse. Numeric simulations are also used to verify the asymptotic results in small samples and evaluate the efficiency of the unbalanced design in more complicated settings. Beyond comparing the asymptotic sampling variances, I further evaluate the power and empirical Type I error from unbalanced design and compare against the traditional balanced design. Data from a randomized clinical trial for type 1 diabetes are further used to test the performance of the proposed unbalanced design, and the parametric analyses of these data confirmed the findings from the theoretical and numerical studies.
APA, Harvard, Vancouver, ISO, and other styles
10

Chen, Li. "A comparison of methods in the presence of censored cost data under different censoring mechanisms." Thesis, University of Ottawa (Canada), 2005. http://hdl.handle.net/10393/26868.

Full text
Abstract:
Several approaches have recently been proposed in order to derive an accurate estimate of mean costs given censoring. The aim of this study was to compare methods for estimating mean costs given censoring across different censoring mechanisms and censoring levels. 736 "complete" cases from the CHART study were used to form a "complete" set where the mean cost was known. This "complete" cohort was used to generate simulated data sets. The accuracy of methods was measured by comparing the difference between estimates and the "true" cost. The Uncensored cases method, Cox's PH model and the Weighted method CHU consistently gave better estimates of mean costs across different censoring mechanisms and censoring levels. Estimates of mean costs from all methods deteriorated as the censoring level increased. The Uncensored cases method, Cox's PH model and the Weighted method CHU may be appropriate methods for estimating mean costs given censoring in short-term studies.
APA, Harvard, Vancouver, ISO, and other styles
More sources

Books on the topic "Data censoring"

1

Emura, Takeshi, and Yi-Hau Chen. Analysis of Survival Data with Dependent Censoring. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-7164-5.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Evans, James W. Censoring data for resistance factor calculations in load and resistance factor design: A preliminary study. Madison, WI: United States Dept. of Agriculture, Forest Service, Forest Products Laboratory, 2007.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
3

Evans, James W. Censoring data for resistance factor calculations in load and resistance factor design: A preliminary study. Madison, WI: United States Dept. of Agriculture, Forest Service, Forest Products Laboratory, 2007.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
4

Analysis for Time-to-Event Data under Censoring and Truncation. Elsevier, 2017. http://dx.doi.org/10.1016/c2015-0-01505-2.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Emura, Takeshi, and Yi-Hau Chen. Analysis of Survival Data with Dependent Censoring: Copula-Based Approaches. Springer, 2018.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
6

Wang, Huan, and Hongsheng Dai. Analysis for Time-To-Event Data under Censoring and Truncation. Elsevier Science & Technology Books, 2016.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
7

Martens, David. Data Science Ethics. Oxford University Press, 2022. http://dx.doi.org/10.1093/oso/9780192847263.001.0001.

Full text
Abstract:
Data science ethics is all about what is right and wrong when conducting data science. Data science has so far mainly been used for positive outcomes for businesses and society. However, just as with any technology, data science has also come with some negative consequences: an increase of privacy invasion, data-driven discrimination against sensitive groups, and decision making by complex models without explanations. This book looks at the different concepts and techniques related to data science ethics. Data scientists and business managers are not inherently unethical, but at the same time not trained to think this through either. This book aims to address this important gap. The techniques discussed range from k-anonymity and differential privacy to homomorphic encryption and zero-knowledge proofs to address privacy concerns, measurements to assess, and techniques to remove discrimination against sensitive groups, and various explainable AI techniques. The real-life cautionary tales further illustrate the importance and potential impact of data science ethics, including tales of racist bots, search censoring, government backdoors, discrimination in recruitment, predicting pregnancy, redlining, re-identification of persons based on movie viewing and location data, cheating academics, and face recognition. Additionally, 10 discussions are provided with hypothetical scenarios, for example:‘you are the founder of a startup …’, which then present an ethical dilemma related to data science. These can serve as structured exercises to be completed with your fellow colleagues, and will teach you how to balance the ethical concerns and the utility of your data.
APA, Harvard, Vancouver, ISO, and other styles
8

Watson, Peter. Survival analysis. Oxford University Press, 2015. http://dx.doi.org/10.1093/med:psych/9780198527565.003.0018.

Full text
Abstract:
This chapter explores survival analysis. It includes data censoring, functions of duration time (the survival function, and hazard function), Cox’s proportional hazards model, log-linearity, time varying predictors, and odds ratios.
APA, Harvard, Vancouver, ISO, and other styles

Book chapters on the topic "Data censoring"

1

Kovanic, Pavel. "Data Censoring." In Mathematical Gnostics, 143–58. Boca Raton: CRC Press, 2023. http://dx.doi.org/10.1201/9780429441196-14.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Cramer, Erhard, and George Iliopoulos. "Adaptive Progressive Censoring." In Ordered Data Analysis, Modeling and Health Research Methods, 73–86. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-25433-3_5.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Gross, Shulamith, and Catherine Huber-Carol. "Multivariate Survival Data With Censoring." In Statistical Models and Methods for Biomedical and Technical Systems, 55–65. Boston, MA: Birkhäuser Boston, 2008. http://dx.doi.org/10.1007/978-0-8176-4619-6_5.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Balakrishnan, N., and Erhard Cramer. "Progressive Censoring: Data and Models." In The Art of Progressive Censoring, 3–20. New York, NY: Springer New York, 2014. http://dx.doi.org/10.1007/978-0-8176-4807-7_1.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Emura, Takeshi, and Yi-Hau Chen. "Copula Models for Dependent Censoring." In Analysis of Survival Data with Dependent Censoring, 27–40. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-7164-5_3.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Balakrishnan, N., and Erhard Cramer. "Progressive Type-I Interval Censored Data." In The Art of Progressive Censoring, 421–25. New York, NY: Springer New York, 2014. http://dx.doi.org/10.1007/978-0-8176-4807-7_18.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Balakrishnan, N., and Erhard Cramer. "Stress–Strength Models with Progressively Censored Data." In The Art of Progressive Censoring, 507–13. New York, NY: Springer New York, 2014. http://dx.doi.org/10.1007/978-0-8176-4807-7_24.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Balakrishnan, N., and Erhard Cramer. "Bayesian Inference for Progressively Type-II Censored Data." In The Art of Progressive Censoring, 341–53. New York, NY: Springer New York, 2014. http://dx.doi.org/10.1007/978-0-8176-4807-7_15.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Balakrishnan, N., and Erhard Cramer. "Statistical Intervals for Progressively Type-II Censored Data." In The Art of Progressive Censoring, 379–419. New York, NY: Springer New York, 2014. http://dx.doi.org/10.1007/978-0-8176-4807-7_17.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Feigelson, Eric D. "Censoring in Astronomical Data Due to Nondetections." In Statistical Challenges in Modern Astronomy, 221–37. New York, NY: Springer New York, 1992. http://dx.doi.org/10.1007/978-1-4613-9290-3_24.

Full text
APA, Harvard, Vancouver, ISO, and other styles

Conference papers on the topic "Data censoring"

1

Postavaru, Stefan, and Ionut-MihaIta Plesea. "Censoring Sensitive Data from Images." In 2016 18th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC). IEEE, 2016. http://dx.doi.org/10.1109/synasc.2016.073.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Diniz, Paulo S. R., and Hamed Yazdanpanah. "Data censoring with set-membership algorithms." In 2017 IEEE Global Conference on Signal and Information Processing (GlobalSIP). IEEE, 2017. http://dx.doi.org/10.1109/globalsip.2017.8308616.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Wang, Zifeng, Zheng Yu, Qing Ling, Dimitris Berberidis, and Georgios B. Giannakis. "Distributed recursive least-squares with data-adaptive censoring." In 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2017. http://dx.doi.org/10.1109/icassp.2017.7953280.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Wang, Gang, Dimitris Berberidis, Vassilis Kekatos, and Georgios B. Giannakis. "Online reconstruction from big data via compressive censoring." In 2014 IEEE Global Conference on Signal and Information Processing (GlobalSIP). IEEE, 2014. http://dx.doi.org/10.1109/globalsip.2014.7032132.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Yang, Miao, Liu Yang, Zhenghang Zhu, Haifeng Wang, and Hua Qian. "Data Censoring in Renewable Energy Enabled Wireless Sensor Networks." In 2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall). IEEE, 2019. http://dx.doi.org/10.1109/vtcfall.2019.8891576.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Zhu, Hongbin, Xiliang Luo, Fangfei Shen, Hua Qian, and Yang Yang. "A queuing method for adaptive censoring in big data processing." In ICC 2017 - 2017 IEEE International Conference on Communications. IEEE, 2017. http://dx.doi.org/10.1109/icc.2017.7996542.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Fernandez-Bes, Jesus, Rocio Arroyo-Valles, and Jesus Cid-Sueiro. "Cooperative data censoring for energy-efficient communications in Sensor Networks." In 2011 IEEE International Workshop on Machine Learning for Signal Processing (MLSP). IEEE, 2011. http://dx.doi.org/10.1109/mlsp.2011.6064553.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Chen, Junlin, and Uyen Trang Nguyen. "A Robust Protocol for Circumventing Censoring Firewalls." In 2018 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData). IEEE, 2018. http://dx.doi.org/10.1109/cybermatics_2018.2018.00299.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Wu, D. C., A. D. Peralta, M. N. Menon, and J. C. Cuccio. "Subcritical Crack Growth Life Prediction for Ceramic Components of Advanced Heat Engines." In ASME 1995 International Gas Turbine and Aeroengine Congress and Exposition. American Society of Mechanical Engineers, 1995. http://dx.doi.org/10.1115/95-gt-236.

Full text
Abstract:
Advanced, high-strength ceramics are finding increasing application in advanced heat engines. To ensure the long-term reliability of components made from these materials, subcritical crack growth (SCG) from inherent flaws has to be taken into account, as this has been identified as the primary failure mode under sustained loading. In analyzing fast fracture data, data censoring is necessary to obtain estimates of the inherent strength distributions for competing failure-causing flaw populations. This is particularly important for ceramic designs, where size scaling is a necessary part of the design analysis. While data censoring has become common for fast fracture data, data censoring involving stress rupture data has yet to be widely applied. This paper describes fast fracture and stress rupture tests performed on an advanced silicon nitride ceramic, the test data and fractography results, censored data analysis for both types of data, derivation of the subcritical crack growth parameters, and application of these parameters to verification specimens. Implications of the findings and recommendations for future studies are also presented.
APA, Harvard, Vancouver, ISO, and other styles
10

Wang, Yu, Xiao-Qin Zhang, and Dian-Jun Lu. "Research on exponential distribution and type-II hybrid censoring data model." In International Workshop on Wireless Communication and Network (IWWCN2015). WORLD SCIENTIFIC, 2015. http://dx.doi.org/10.1142/9789814733663_0036.

Full text
APA, Harvard, Vancouver, ISO, and other styles

Reports on the topic "Data censoring"

1

Gilbert, R. O. A review of statistical methods for data sets with multiple censoring points. Office of Scientific and Technical Information (OSTI), July 1995. http://dx.doi.org/10.2172/650341.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Evans, James W., and David W. Green. Censoring Data for Resistance Factor Calculations in Load and Resistance Factor Design: A Preliminary Study. Madison, WI: U.S. Department of Agriculture, Forest Service, Forest Products Laboratory, 2007. http://dx.doi.org/10.2737/fpl-rn-304.

Full text
APA, Harvard, Vancouver, ISO, and other styles
You might also be interested in the extended bibliographies on the topic 'Data censoring' for particular source types:
Journal articles Dissertations / Theses
We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!

To the bibliography