Relevant bibliographies by topics / Survival analysis (Biometry)

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Survival analysis (Biometry)'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 August 2024

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Journal articles on the topic "Survival analysis (Biometry)"

1

Oluyede, Broderick O. "ON INEQUALITIES AND SELECTION OF EXPERIMENTS FOR LENGTH BIASED DISTRIBUTIONS." Probability in the Engineering and Informational Sciences 13, no. 2 (1999): 169–85. http://dx.doi.org/10.1017/s0269964899132030.

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The length biased distribution occurs naturally for some sampling plans in reliability, biometry, and survival analysis. In this note, inequalities for length biased distributions are proved for monotone hazard functions and mean residual life functions. The problem of sampling and selection of experiments from the length biased distribution as opposed to the original distribution is addressed. Certain modified cross-entropy measures are also investigated.
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Gomes, M. Ivette, Marta Ferreira, and Víctor Leiva. "The extreme value Birnbaum-Saunders model, its moments and an application in biometry." Biometrical Letters 49, no. 2 (2012): 81–94. http://dx.doi.org/10.2478/bile-2013-0006.

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Summary The Birnbaum-Saunders (BS) model is a life distribution that has been widely studied and applied. Recently, a new version of the BS distribution based on extreme value theory has been introduced, named the extreme value Birnbaum-Saunders (EVBS) distribution. In this article we provide some further details on the EVBS models that can be useful as a supplement to the existing results. We use these models to analyse real survival time data for patients treated with alkylating agents for multiple myeloma. This analysis allow us to show the adequacy of these new statistical distributions an
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Alzaid, Abdulhamid A. "Length-Biased Orderings with Applications." Probability in the Engineering and Informational Sciences 2, no. 3 (1988): 329–41. http://dx.doi.org/10.1017/s0269964800000887.

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A new partial ordering generated by the set of star-shaped functions is introduced. This ordering is equivalent to the stochastic comparison of the length-biased distributions which are frequently appropriate for certain natural sampling plans in biometry, reliability, and survival analysis studies. It is shown that the length-biased ordering fits in the framework of stochastic and variatiility orderings. It enjoys many properties similar to those of the stochastic and variability orderings.
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Kasai, Rodrigo Yutaka Dichoff, Ana Lúcia Salaro, Jener Alexandre Sampaio Zuanon, Céphora Maria Sabarense, Mateus Moraes Tavares, and Daniel Abreu Vasconcelos Campelo. "Feed training of giant trahira fingerlings fed diets containing different levels of vitamin C." Revista Brasileira de Zootecnia 40, no. 3 (2011): 463–68. http://dx.doi.org/10.1590/s1516-35982011000300001.

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The objective of this work was to evaluate suplemenation of vitamin C during feed training of giant trahira fingerlings. An experiment was established in a complete random design with seven treatments (0.0, 17.5, 52.5, 87.5, 122.5, 175.0 and 350.0 mg vitamin C/kg diet) and four repetitions. Giant trahira fingerlings (2.8 ± 0.2 cm) were distributed in 6-L aquaria at the density of 6 fish/L. A basal diet was formulated with 44.0% of crude protein and vitamin C and bovine heart were added in it daily. After 20 days, biometry of fish for evaluation of weight and length gains, rates of survival and
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Jinadu, Faosat O., Adedolapo O. Nelson-Paseda, Tawaqualit A Ottun, and Ayokunle M. Olumodeji. "Placenta thickness: A sonographic index for foetal gestational age estimation." Indian Journal of Obstetrics and Gynecology Research 8, no. 2 (2021): 217–22. http://dx.doi.org/10.18231/j.ijogr.2021.045.

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A healthy placenta is crucial for foetal well-being, growth and development and neonatal survival. Foetal sonographic biometric parameters are crucial in obstetric decision making. This study correlated placenta thickness with foetal biometry in the estimation of gestational age (EGA) and estimated foetal weight (EFW). This was a prospective cross-sectional study in which 400 healthy pregnant women at gestational ages of 13 to 37 weeks, who attended antenatal clinic at the Lagos State University Teaching Hospital, were consecutively recruited. Obstetric ultrasound (USS) was performed to assess
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Oakes, D. "Biometrika Centenary: Survival analysis." Biometrika 88, no. 1 (2001): 99–142. http://dx.doi.org/10.1093/biomet/88.1.99.

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Peng, L., and Y. Huang. "Survival analysis with temporal covariate effects." Biometrika 94, no. 3 (2007): 719–33. http://dx.doi.org/10.1093/biomet/asm058.

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Chan, K. C. G. "Survival analysis without survival data: connecting length-biased and case-control data." Biometrika 100, no. 3 (2013): 764–70. http://dx.doi.org/10.1093/biomet/ast008.

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9

SWEETING, TREVOR J. "Approximate Bayesian analysis of censored survival data." Biometrika 74, no. 4 (1987): 809–16. http://dx.doi.org/10.1093/biomet/74.4.809.

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10

Jung, S.-H. "Regression analysis for long-term survival rate." Biometrika 83, no. 1 (1996): 227–32. http://dx.doi.org/10.1093/biomet/83.1.227.

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Dissertations / Theses on the topic "Survival analysis (Biometry)"

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Wardak, Mohammad Alif. "Survival analysis." CSUSB ScholarWorks, 2005. https://scholarworks.lib.csusb.edu/etd-project/2810.

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Survival analysis pertains to a statistical approach designed to take into account the amount of time an experimental unit contributes to a study. A Mayo Clinic study of 418 Primary Biliary Cirrhosis patients during a ten year period was used. The Kaplan-Meier Estimator, a non-parametric statistic, and the Cox Proportional Hazard methods were the tools applied. Kaplan-Meier results include total values/censored values.
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葉英傑 and Ying-Kit David Ip. "Analysis of clustered grouped survival data." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2001. http://hub.hku.hk/bib/B31226127.

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Ip, Ying-Kit David. "Analysis of clustered grouped survival data /." Hong Kong : University of Hong Kong, 2001. http://sunzi.lib.hku.hk/hkuto/record.jsp?B2353011x.

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林國輝 and Kwok-fai Lam. "Topics in survival analysis." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1994. http://hub.hku.hk/bib/B30408994.

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Lam, Kwok-fai. "Topics in survival analysis /." Hong Kong : University of Hong Kong, 1994. http://sunzi.lib.hku.hk/hkuto/record.jsp?B13829919.

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Zhang, Xinjian. "HIV/AIDS relative survival analysis." unrestricted, 2007. http://etd.gsu.edu/theses/available/etd-07262007-123251/.

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Thesis (M.S.)--Georgia State University, 2007.<br>Title from file title page. Gengsheng (Jeff) Qin, committee chair; Ruiguang (Rick) Song, Xu Zhang, Yu-Sheng Hsu, committee members. Electronic text (79 p. : col. ill.) : digital, PDF file. Description based on contents viewed Sept. 16, 2008. Includes bibliographical references (p. 38-42).
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Wong, Chun-mei May. "Multilevel models for survival analysis in dental research." Click to view the E-thesis via HKUTO, 2005. http://sunzi.lib.hku.hk/hkuto/record/B3637216X.

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Zhou, Feifei, and 周飞飞. "Cure models for univariate and multivariate survival data." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2011. http://hub.hku.hk/bib/B45700977.

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Lee, Yau-wing. "Modelling multivariate survival data using semiparametric models." Click to view the E-thesis via HKUTO, 2000. http://sunzi.lib.hku.hk/hkuto/record/B4257528X.

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梁翠蓮 and Tsui-lin Leung. "Proportional odds model for survival data." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1999. http://hub.hku.hk/bib/B42575011.

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Books on the topic "Survival analysis (Biometry)"

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L, Moeschberger Melvin, ed. Survival analysis: Techniques for censored and truncated data. Springer, 1997.

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L, Moeschberger Melvin, ed. Survival analysis: Techniques for censored and truncated data. 2nd ed. Springer, 2003.

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Harris, Eugene K. Survivorship analysis for clinical studies. M. Dekker, 1991.

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Kleinbaum, David G. Survival analysis: A self-learning text. Springer, 1996.

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1952-, Jewell Nicholas P., ed. Lifetime data: Models in reliability and survival analysis. Kluwer Academic, 1996.

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Klein, John P. Survival Analysis: State of the Art. Springer Netherlands, 1992.

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Kragh, Andersen Per, and Keiding Niels, eds. Survival and event history analysis. Wiley, 2006.

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Liu, Xian. Survival analysis: Models and applications. John Wiley & Sons, 2012.

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Hanagal, David D. Modeling survival data using frailty models. Chapman & Hall/CRC, 2011.

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Hein, Putter, ed. Dynamic prediction in clinical survival analysis. CRC Press, 2012.

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Book chapters on the topic "Survival analysis (Biometry)"

1

Rao, Ursula. "Re-Spatializing Social Security in India." In Spaces of Security. NYU Press, 2019. http://dx.doi.org/10.18574/nyu/9781479863013.003.0011.

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This chapter analyzes the changing logic and logistics of welfare security in the biometric governance era. Power is exercised spatially, and in modern nation-states it follows a model Gupta and Ferguson call “vertical encompassment”. Citizens are cared for by institutions that communicate hierarchically. Information about needs travels upwards, from district and state to national statistics, and eventually it informs decisions at central government offices, where funds are disbursed downwards through the hierarchical channels of the welfare state. The system requires permanently settled citizens. Therefore, it works badly for itinerant citizens who travel seasonally for work. Biometric governance promises to improve the system by rendering data mobile and thus permitting citizens to identify and collect welfare anywhere. Using the case study of India’s biometric National Health Insurance (RSBY), the chapter examines an emerging securityscape that creatively combines old and new ways of managing welfare distribution. While doing so, it confronts all participants with the difficulty of combining the protection of the integrity of state structures with the imperative to care for citizens and ensure survival. Regardless the technology, securitization of the state undermines the goal of inclusiveness challenging policy makers to either abandon their welfare aspirations or relax surveillance.
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Conference papers on the topic "Survival analysis (Biometry)"

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Рыбаков, К. В., В. Г. Краснов, and М. И. Смышляева. "SURVIVAL ABILITY AND GROWTH OF EXPERIMENTAL ENGLISH OAK (QUERCUS ROBUR L.) COMPOSED OF SEEDLINGS WITH CLOSED ROOT SYSTEM GROWN IN DIFFERENT NUTRITIOUS SUBSTRATES." In Лесные экосистемы в условиях изменения климата: биологическая продуктивность и дистанционный мониторинг. Crossref, 2019. http://dx.doi.org/10.25686/2683.2019.5.58819.

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В статье представлен опыт создания опытных культур дуба черешчатого с использованием сеянцев с закрытой корневой системой (ЗКС), выращенных на различных питательных субстратах на территории питомника лесных и декоративных древесных растений Азяково Ботанического сада-института Поволжского государственного технологического университета. Цель исследования выявить оптимальный вид субстрата при выращивании сеянцев дуба черешчатого с закрытой корневой системой для последующего эффективного создания лесных культур, соответствующего по экономическим и качественным требованиям производимых сеянцев дан
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