BIOST 536 / EPI 536 - University of Washington: Fall, 2014

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Scott S. Emerson, M.D., Ph.D.
Professor of Biostatistics
Department of Biostatistics
University of Washington

Categorical Data Analysis in Epidemiology
Summary of univariate categorical data analysis; Introduction to multivariate analysis of categorical epidemiologic and health sciences data using multiplicative models. Experience at interpretation; familiarity with available software programs gained by analysis of bona fide data and critiques of published analyses appearing in literature. Prerequisite: BIOST 515; EPI 513 and either BIOST 513 or BIOST 518; or permission of instructor. Offered: jointly with EPI 536.

Contact Information, Course Meeting Times, and Office Hours
Biost 536/Epi 536 Syllabus (pdf)
References for Biost 536/Epi 536
Supplementary Materials
Datasets
 
Day   Date    Handouts   Video Recordings   HW Due Lab Due Miscellaneous
ThuSep 25 L01: Setting; 1-sample 4/pg   1/pg LectA   LectB         Peer Grading Instructions
    Prep:                
    Ref: L 2.1            
 
TueSep 30 L02: Two-sample inference 4/pg   1/pg LectA   LectB   Disc       LAB #1  
    Prep:             ( .do .R )  
    Ref: L 2.2-2.8; A:CDA Ch 2-3; F Ch 2            
 
ThuOct 2 L03: Adjusted Analyses 4/pg   1/pg LectA   LectB     HW #1    
    Prep:           (Key .do .R .xls )    
    Ref:            
 
TueOct 7 L04: Stratified analyses 4/pg   1/pg LectA   LectB   Disc     HW #1 Graded LAB #2  
    Prep:           (due 10/8) ( .do .R )  
    Ref:            
 
ThuOct 9 L05: Standardized Rates 4/pg   1/pg LectA   LectB     HW #2 (due 10/12)    
    Prep:           ( Key .do .R .xls )    
    Ref:            
 
TueOct 14 L06: Review of Regression 4/pg   1/pg LectA   LectB   Disc     HW #2 Graded LAB #3 Review of CI 4/pg   1/pg
    Prep:             ( .do .R )  
    Ref:            
 
ThuOct 16 First Midterm       Midterm1    
    (closed book, closed notes)       (Key )    
                 
 
TueOct 21   LectA   LectB   Disc       LAB #4  
    Prep:             ( .do .R )  
    Ref:            
 
ThuOct 23 L07: Nonlinear associations 4/pg   1/pg LectA   LectB         Project Assignment
    Prep:               Project Description  Data
    Ref:            
 
TueOct 28 4/pg   1/pg LectA   LectB   Disc       LAB #5  
    Prep: Video   4/pg   1/pg         ( .do .R )  
    Ref:            
 
ThuOct 30 L08: Exploratory, Screening, Confirmatory 4/pg   1/pg LectA   LectB     HW #3    
    Prep: Video   4/pg   1/pg       (Key .do .R .xls )    
    Ref:            
 
TueNov 4 L09: Inference with Complex Models 4/pg   1/pg LectA   LectB   Disc     HW #3 Graded LAB #6 Project SAP due Nov 2
    Prep: Video   4/pg   1/pg       (due 11/7) (Papers )  
    Ref:            
 
ThuNov 6 4/pg   1/pg LectB   EffMod     HW #4 (due 11/9)    
    Video           (Key .do .R .xls )    
    Ref:            
 
TueNov 11 Veterans' Day       HW #4 Graded   Project Discussion: Video
    (Holiday)       (due 11/12)    
                 
 
ThuNov 13 Second Midterm       Midterm2    
    (closed book, closed notes)       (Key )    
                 
 
TueNov 18 L10: Assumptions; Diagnostics 4/pg   1/pg LectA   LectB   Disc       LAB #7 Project Draft Report Due
    Prep: Video   4/pg   1/pg         ( .do .R )  
    Ref:            
 
ThuNov 20 L11: Matching, Ordinal Data, Current Status 4/pg   1/pg LectA   LectB         Project Refereee Report Due Nov 21
    Prep: Video   4/pg   1/pg            
    Ref:            
 
TueNov 25 L13: 4/pg   1/pg LectA   LectB   Disc     LAB #8 Project Final Report Due Nov 26
    Prep: Video   4/pg   1/pg       ( .do .R )  
    Ref:            
 
ThuNov 27 Thanksgiving Day            
    (Holiday)            
                 
 
TueDec 2 L14: 4/pg   1/pg LectA   LectB   Disc     LAB #9 Project Oral Defenses Dec 1-3
    Prep: Video   4/pg   1/pg         ( .do .R )  
    Ref:            
 
ThuDec 4 L15: 4/pg   1/pg LectA   LectB     HW #5   hw05.txt    
    Prep:           (due 12/7) ( Key .do .R .xls )    
    Ref:          
 
Fri Dec 12 Final Exam       Final    
    (closed book, closed notes)       ( Key )    
    (2:30 - 4:20 pm; Room HST 639)            
 

Contact Information, Course Meeting Times, and Office Hours

Instructor:Scott S. Emerson, M.D., Ph.D.

Assistants

Scott Coggeshall sscogges@uw.edu
Office Hours (HSLIC Learning Commons): W 3:30 - 5:30 pm;

Jean Morrison jeanm5@uw.edu
Office Hours (HSLIC Learning Commons): M 3:30 - 5:30 pm;

Office:HSB H655-J
Phone:206-616-6678
Email:semerson@uw.edu
Office Hours:W 11:00 am - 1:00 pm
(or by appointment)

Times and Places
Lectures : TTh 1:30am - 3:20am HST 639
 Disc AA :   T 12:30pm - 1:20pm HST 739

 

References for Biost 536 / Epi 536

HLS  Hosmer, Lemeshow, Sturdivant: Applied Logistic Regression
KK  Kleinbaum, Klein: Logistic Regression: A Self-Learning Text
A:CDA  Agresti: Categorical Data Analysis
A:OCD  Agresti: Analysis of Ordinal Categorical Data
F  Fleiss: Statistical Methods for Rates and Proportions
L  Lachin: Biostatistical Methods