Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/80211
Title: Modern Bayesian Modeling to Solve Common but Complex Clinical and Epidemiological Problems in Ophthalmology
Authors: WONG WAN LING
Keywords: Bayesian, Diagnostic, Epidemiology, Meta-analysis, Rasch, Ophthalmology
Issue Date: 12-May-2014
Source: WONG WAN LING (2014-05-12). Modern Bayesian Modeling to Solve Common but Complex Clinical and Epidemiological Problems in Ophthalmology. ScholarBank@NUS Repository.
Abstract: The use of advanced and newly developed biostatistical methods usually lag behind their initial discovery by a period ranging from a few years to decades. Most clinical research use well-established ?classical? statistics to make statistical inference, for example, presence of association. However, when analyzing research data with complex study designs or data structure, simply relying on ?classical? statistical methods such as t-tests or standard procedures from generalized linear model may be inappropriate as the data do not satisfy the underlying model?s assumptions. This thesis will introduce and focus on the use of modern Bayesian methods to address research questions encountered in different areas of clinical and epidemiological research with a focus on eye diseases. The thesis will analyze data with questions that may be difficult to address using ?classical? statistics. The application of Bayesian analysis using modern Bayesian computation techniques may pose a challenge for clinical researchers and hence a documented ?step-by-step? R codes to help clinical researchers to perform their own Bayesian analysis for similar research conditions are proposed.
URI: http://scholarbank.nus.edu.sg/handle/10635/80211
Appears in Collections:Ph.D Theses (Open)

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