Дисертації з теми "Medical statistics Evaluation"
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Helmersson, Teresa. "Evaluation of Synthetic MRI for Clinical Use." Thesis, Linköpings universitet, Institutionen för medicin och hälsa, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-64359.
Повний текст джерелаDakin, Helen A. "Economic evaluation of factorial randomised controlled trials." Thesis, University of Oxford, 2015. http://ora.ox.ac.uk/objects/uuid:77eda1f6-dd8c-439a-8871-75fd57a4c7f5.
Повний текст джерелаMajeke, Lunga. "Preliminary investigation into estimating eye disease incidence rate from age specific prevalence data." Thesis, University of Fort Hare, 2011. http://hdl.handle.net/10353/464.
Повний текст джерелаZullig, Keith J., Laura Lander, Rebecca J. White, Carl Sullivan, Clara Shockley, Lili Dong, Robert P. Pack, and Tara Surber Fedis. "Preliminary Evaluation of the WV Prescription Drug Abuse Quitline." Digital Commons @ East Tennessee State University, 2010. https://dc.etsu.edu/etsu-works/6335.
Повний текст джерелаReddy, Hari Mallam. "Case study on costs and efficiency of Urgent Care Center Desert Valley Medical Group, Victorville." CSUSB ScholarWorks, 2001. https://scholarworks.lib.csusb.edu/etd-project/1733.
Повний текст джерелаRodriguez, M. "Knowledge Discovery in a Review of Monograph Acquisitions at an Academic Health Sciences Library." Thesis, School of Information and Library Science, 2008. http://hdl.handle.net/1901/528.
Повний текст джерелаMayaud, Louis. "Prediction of mortality in septic patients with hypotension." Thesis, University of Oxford, 2014. http://ora.ox.ac.uk/objects/uuid:55a57418-de16-4932-8a42-af56bd380056.
Повний текст джерелаRamaboa, Kutlwano K. K. M. "A comparative evaluation of data mining classification techniques on medical trauma data." Master's thesis, University of Cape Town, 2004. http://hdl.handle.net/11427/5973.
Повний текст джерелаThe purpose of this research was to determine the extent to which a selection of data mining classification techniques (specifically, Discriminant Analysis, Decision Trees, and three artifical neural network models - Backpropogation, Probablilistic Neural Networks, and the Radial Basis Function) are able to correctly classify cases into the different categories of an outcome measure from a given set of input variables (i.e. estimate their classification accuracy) on a common database.
Chai, Shan, and shan chai@optusnet com au. "Performance Evaluation of Perceptually Lossless Medical Image Coder." RMIT University. Electrical and Computer Engineering, 2007. http://adt.lib.rmit.edu.au/adt/public/adt-VIT20080205.120648.
Повний текст джерелаSithole, Jabulani S. "Longitudinal data models for evaluating change in prescribing patterns." Thesis, Keele University, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.327702.
Повний текст джерелаHenderson, Neil James Kerr. "Extending the clinical and economic evaluations of a randomised controlled trial the IONA study /." Connect to e-thesis, 2008. http://theses.gla.ac.uk/418/.
Повний текст джерелаPh.D. thesis submitted to the Department of Statistics, Faculty of Information and Mathematical Sciences, University of Glasgow, 2008. Includes bibliographical references. Print version also available.
Ismail, Noor Azina. "Statistical methods for the improvement of health care." Thesis, Queensland University of Technology, 1999.
Знайти повний текст джерелаMüller, Oleg. "Evaluation multimedialer Teachware mit Kontrollgruppe /." Aachen : Shaker, 2005. http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&doc_number=014599547&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA.
Повний текст джерелаChace, Meredith Joy. "Evaluating Intended and Unintended Consequences of Health Policy and Regulation in Vulnerable Populations." Thesis, Harvard University, 2012. http://dissertations.umi.com/gsas.harvard:10725.
Повний текст джерелаShinkins, Bethany. "The evaluation and expansion of methodologies relating to the reporting and analyses of intermediate test results : improving the clinical utility of diagnostic research." Thesis, University of Oxford, 2014. http://ora.ox.ac.uk/objects/uuid:2df7fc16-51f5-4978-80bd-b69efdf9c8a2.
Повний текст джерелаWoo, Pao-sun Pauline, and 胡寶璇. "Applications of age-period-cohort and state-transition Markov models in understanding cervical cancer incidence trends and evaluating thecost-effectiveness of cytologic screening." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2006. http://hub.hku.hk/bib/B36900400.
Повний текст джерелаJordánová, Ivana. "Hodnocení tepové frekvence a saturace krve kyslíkem pomocí chytrého telefonu." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2018. http://www.nusl.cz/ntk/nusl-378033.
Повний текст джерелаHoffman, Leslie Ann. "An exploration of reflective writing and self-assessments to explain professionalism lapses among medical students." Thesis, 2014. http://hdl.handle.net/1805/5931.
Повний текст джерелаBackground: Recent literature on medical professionalism claims that self-awareness and the ability to reflect upon one’s experiences is a critical component of professionalism; however there is a paucity of empirical evidence to support this claim. This study employed a mixed methods approach to explore the utility of reflective writing and self- and peer assessments in explaining professionalism lapses among medical students. Methods: A retrospective case-control study was conducted using students from Indiana University School of Medicine (IUSM) who had been disciplined for unprofessional behavior between 2006-2013 (case group; n=70). A randomly selected control group (n=230) was used for comparison. Reflective ability was assessed using a validated rubric to score students’ professionalism journals. Mean reflection scores and assessment scores were compared using t-tests. Logistic regression analysis was used to determine the impact of reflection scores and self- and peer assessment scores on the likelihood of having been disciplined for unprofessional behavior. Subsequent qualitative analysis further explored when and how students learned professionalism during their clinical experiences. Results: The study found that students in the case group exhibited lower reflective ability than control students. Furthermore, reflective ability was a significant factor in explaining the odds that a student had been cited for professionalism lapses. There were no differences in self-assessment scores between the two groups, but students in the case group had significantly lower peer assessment scores than control students. Peer assessment scores also had the greatest influence on the odds that a student had been cited for professionalism deficiencies during medical school. Qualitative analysis revealed that students learn professionalism from role models who demonstrated altruism and respect (or lack thereof). Conclusions: These findings suggest that students should be provided with guidance and feedback on their reflective writing to promote higher levels of reflection, which may reduce the number of students who are cited for professionalism lapses. These findings also indicate that peer assessments can be used to provide students with insightful feedback regarding their professional development. Finally, role models have a strong influence on students’ professional development, and therefore must be cognizant of the implicit messages their behaviors convey.
Severns, Christopher Ray. "A comparison of geocoding baselayers for electronic medical record data analysis." Thesis, 2014. http://hdl.handle.net/1805/3841.
Повний текст джерелаIdentifying spatial and temporal patterns of disease occurrence by mapping the residential locations of affected people can provide information that informs response by public health practitioners and improves understanding in epidemiological research. A common method of locating patients at the individual level is geocoding residential addresses stored in electronic medical records (EMRs) using address matching procedures in a geographic information system (GIS). While the process of geocoding is becoming more common in public health studies, few researchers take the time to examine the effects of using different address databases on match rate and positional accuracy of the geocoded results. This research examined and compared accuracy and match rate resulting from four commonly-used geocoding databases applied to sample of 59,341 subjects residing in and around Marion County/ Indianapolis, IN. The results are intended to inform researchers on the benefits and downsides to their selection of a database to geocode patient addresses in EMRs.
Han, Baoguang. "Statistical analysis of clinical trial data using Monte Carlo methods." Thesis, 2014. http://hdl.handle.net/1805/4650.
Повний текст джерелаIn medical research, data analysis often requires complex statistical methods where no closed-form solutions are available. Under such circumstances, Monte Carlo (MC) methods have found many applications. In this dissertation, we proposed several novel statistical models where MC methods are utilized. For the first part, we focused on semicompeting risks data in which a non-terminal event was subject to dependent censoring by a terminal event. Based on an illness-death multistate survival model, we proposed flexible random effects models. Further, we extended our model to the setting of joint modeling where both semicompeting risks data and repeated marker data are simultaneously analyzed. Since the proposed methods involve high-dimensional integrations, Bayesian Monte Carlo Markov Chain (MCMC) methods were utilized for estimation. The use of Bayesian methods also facilitates the prediction of individual patient outcomes. The proposed methods were demonstrated in both simulation and case studies. For the second part, we focused on re-randomization test, which is a nonparametric method that makes inferences solely based on the randomization procedure used in clinical trials. With this type of inference, Monte Carlo method is often used for generating null distributions on the treatment difference. However, an issue was recently discovered when subjects in a clinical trial were randomized with unbalanced treatment allocation to two treatments according to the minimization algorithm, a randomization procedure frequently used in practice. The null distribution of the re-randomization test statistics was found not to be centered at zero, which comprised power of the test. In this dissertation, we investigated the property of the re-randomization test and proposed a weighted re-randomization method to overcome this issue. The proposed method was demonstrated through extensive simulation studies.
Zhan, Jia. "New statistical methods for the evaluation of effectivenss and safety of a medical intervention in using observational data." Diss., 2016. http://hdl.handle.net/1805/12305.
Повний текст джерелаObservational studies offer unique advantages over randomized clinical trials (RCTs) in many situations where RCTs are not feasible or suffer from major limitations such as insufficient sample sizes and narrowly focused populations. Because observational data are relatively easy and inexpensive to access, and contain rich and comprehensive demographic and medical information on large and representative populations, they have played a major role in the assessment of the effectiveness and safety of medical interventions. However, observational data also have the challenges of higher rates of missing data and the confounding effect. My proposal is on the development of three statistical methods to address these challenges. The first method is on the refinement and extension of a multiply robust (MR) estimation procedure that simultaneously accounts for the confounding effect and missing covariate process, where we derived the asymptotic variance estimator and extended the method to the scenario where the missing covariate is continuous. The second method focuses on the improvement of estimation precision in an RCT by a historical control cohort. This was achieved through augmenting the conventional effect estimator with an extra mean zero (approximately) term correlated with the conventional effect estimator. In the third method, we calibrated the hidden database bias of an electronic medical records database and utilized an empirical Bayes method to improve the accuracy of the estimation of the risk of acute myocardial infarction associated with a drug by borrowing information from other drugs.
蕭雅慧. "Evaluating medical image quality of JPEG compression and wavelet compression at low compression ratio by using statistic methods." Thesis, 2002. http://ndltd.ncl.edu.tw/handle/54471831482680289199.
Повний текст джерела國立清華大學
原子科學系
91
With the widely applications of digital images, the lossy compression will gradually become the mainstream of compression methods. Because this method might cause the lost of important information, only compression with low ratio are considered on medical images. The goal that we are pursuing is to maximize compression ratio while keeping image quality unchanged. Therefore image quality assessment plays an important role for it. ROC (Receiver Operating Characteristic) is a well-known method for evaluating wavelet compression and JPEG (Joint Photographic Experts Group) compression. Human eyes are difficult to differentiate the nuances of compressed images at low compression ratio. Our research focuses on evaluating image quality by using statistic methods. We develop some image quality indexes using Moran’s I test, kurtosis, etc to evaluate the image quality of wavelet and JPEG compression at low compression ratio (about < 25 times). The results indicate that JPEG compression is better than wavelet compression when the ratio is below 10 times and the reverse is true at compression ratio from 10 to 25 times.
Carney, Timothy Jay. "An Organizational Informatics Analysis of Colorectal, Breast, and Cervical Cancer Screening Clinical Decision Support and Information Systems within Community Health Centers." Thesis, 2013. http://hdl.handle.net/1805/3243.
Повний текст джерелаA study design has been developed that employs a dual modeling approach to identify factors associated with facility-level cancer screening improvement and how this is mediated by the use of clinical decision support. This dual modeling approach combines principles of (1) Health Informatics, (2) Cancer Prevention and Control, (3) Health Services Research, and (4) Organizational Change/Theory. The study design builds upon the constructs of a conceptual framework developed by Jane Zapka, namely, (1) organizational and/or practice settings, (2) provider characteristics, and (3) patient population characteristics. These constructs have been operationalized as measures in a 2005 HRSA/NCI Health Disparities Cancer Collaborative inventory of 44 community health centers. The first, statistical models will use: sequential, multivariable regression models to test for the organizational determinants that may account for the presence and intensity-of-use of clinical decision support (CDS) and information systems (IS) within community health centers for use in colorectal, breast, and cervical cancer screening. A subsequent test will assess the impact of CDS/IS on provider reported cancer screening improvement rates. The second, computational models will use a multi-agent model of network evolution called CONSTRUCT® to identify the agents, tasks, knowledge, groups, and beliefs associated with cancer screening practices and CDS/IS use to inform both CDS/IS implementation and cancer screening intervention strategies. This virtual experiment will facilitate hypothesis-generation through computer simulation exercises. The outcome of this research will be to identify barriers and facilitators to improving community health center facility-level cancer screening performance using CDS/IS as an agent of change. Stakeholders for this work include both national and local community health center IT leadership, as well as clinical managers deploying IT strategies to improve cancer screening among vulnerable patient populations.