Lawrence Joseph
Bayesian statistics


Please Note: Prof. Joseph has retired.
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Course outline
Complete CV
Research interests
Courses taught
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
Asthma
Cardiology
Gastroenterology
Osteoporosis
Quality of Life
Rheumatology
Other
Book
Bayesian software
Bayesian Sample Size
Change-point methods and applications
Diagnostic testing
Diagnostic testing in Genetics
Links
EPIB-683 Intermediate Bayesian Analysis for the Health Sciences
Basic information
Instructor Lawrence Joseph
Credits 2
Course Objectives and Topics CoveredBayesian design and analysis with applications specifically geared towards epidemiological research. Topics may include a selection from multi-leveled hierarchical models, conditional logistic regression, diagnostic tests, Bayesian sample size methods, issues in clinical trials, measurement error and missing data. Programming in R and WinBUGS.
TimeTuesdays 11:30 AM - 1:30 PM (January 9 - April 10, 2018).
PlacePurvis Hall Room 48
AssessmentFive assignments, worth 20% each. There will be no midterm or final exams.
Textbook (for reference only)Andrew Gelman, John Carlin, Hal Stern and Donald Rubin. Bayesian Data Analysis, 2nd Edition, Chapman and Hall, 2003. Textbook review of Gelman et al
PrerequisitesEPIB 682 or permission from the instructor.