Course outline / EPIB-682 Introduction to Bayesian Analysis in the Health Sciences

Lawrence Joseph

Bayesian statistics

Please Note: Prof. Joseph has retired.
These pages are left up in case they prove
useful, but the pages and software will
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Courses
EPIB-682 Introduction to Bayesian Analysis in the Health Sciences
Course outline

Previous courses taught

EPIB-607 Principles of Inferential Statistics in Medicine

EPIB-613 Introduction to Statistical Software

EPIB-621 Data Analysis in the Health Sciences

EPIB-651 Bayesian Analysis in Medicine

EPIB-668 Introduction to Bayesian Analysis in the Health Sciences

EPIB-669 Intermediate Bayesian Analysis for the Health Sciences

EPIB-675 Bayesian Analysis in the Health Sciences

EPIB-682 Introduction to Bayesian Analysis in the Health Sciences

EPIB-683 Intermediate Bayesian Analysis for the Health Sciences

Publications

Methodological publications

Bayesian Sample Size

Change-point methods and applications

Diagnostic testing

Meta analysis

Other topics

Medical publications

Allergy and immunology

Bayesian software

Change-point methods and applications

Diagnostic testing

Diagnostic testing in Genetics

Links

EPIB-682 Introduction to Bayesian Analysis in the Health Sciences

Course Outline

1	Thurs Sept	7	Introduction/Evaluation/Motivation/Background
			Mathematical background
2	Thurs Sept	14	Basic Elements of Bayesian Analysis
3	Thurs Sept	21	Bayesian Philosophy
			James Berger - Example 8 James Berger - Example 13 James Berger - Example 17 Berger and Berry - Illusion of Objectivity Dunson - Practical Advantages of Bayes in Epidemiology
4	Thurs Sept	28	Simple Univariate Models
			Kruschke 2013 - Bayesian mean differences Notes on predictive distributions R program for Normal Means - Version 1 R program for Normal Means - Version 2 R program for exact binomial confidence intervals
5	Thurs Oct	5	Computation and Numerical Methods I - Introduction
6	Thurs Oct	12	Computation and Numerical Methods II - Monte Carlo Integration
7	Thurs Oct	19	Computation and Numerical Methods III - SIR Algorithm
			SIR program #1 SIR program #2 SIR program #3 SIR program #4 Extra Notes on SIR
8	Thurs Oct	26	Computation and Numerical Methods IV - Gibbs sampler and WinBUGS
			Simple Gibbs program in R Paper on adaptive rejection sampling
9	Thurs Nov	2	Computation and Numerical Methods V - More on WinBUGS
			WinBUGS Quick Reference for Model Preparation WinBUGS Quick Reference for Analysis WinBUGS program for Binomial Proportion WinBUGS program for Binomial Proportion Difference WinBUGS program for Normal Mean, Known Variance WinBUGS program for Normal Mean, Unknown Variance WinBUGS program for Linear Regression WinBUGS program for Linear Regression with Missing Data WinBUGS program for Logistic Regression WinBUGS program for Hierarchical Binomial Proportion All WinBUGS programs in one pdf file model.txt data.txt inits.txt script List of all Script commands
10	Thurs Nov	9	Bayesian Linear and Logistic Regression
11	Thurs Nov	16	Hierarchical Linear and Logistic Regression
			WinBUGS rats example WinBUGS seeds example WinBUGS pumps example
12	Thurs Nov	23	Prior Distributions - Prior Selection and Elicitation
			Chaloner 1994
13	Thurs Nov	30	Model Selection in Regression - Bayes Factors
			Raftery 1995 Kass 1995 (abstract only) WinBUGS pines example