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 Biostatistics 140.624
 Statistical Methods in Public Health IV

  Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health
Date

Class  

Event

Lecture Topic
Tues
Mar 23
goto top		 1  

Introduction to course; overview of Stata 
 

Thurs
Mar 25
goto top		 2  

Review multiple linear regression (MLR)
 

Tues
Mar 30
goto top		 NO CLASS

 
Wed
Mar 31
goto top		 JT LAB on eQuiz 1

 
Thurs
Apr 1
goto top		 3

MLR: Examples; normality checking; EDA
 

Tues
Apr 6
goto top
 4  

MLR: Example: regression diagnostics
 
Wed
Apr 7
goto top
 JT LAB on eQuiz 2

e-Quiz 1 due 
(Wed Apr 7 @11:59p)
 

  
Thurs
Apr 8
goto top		 5  

MLR: Collinearity; selection of variables
 
Tues
Apr 13
goto top		 6   MLR: Longitudinal data analysis, GEE, random effects/multi-level models
 
Wed
Apr 14
goto top		 NO JT LAB    
Thurs
Apr 15
goto top		 7

e-Quiz 2 due 
Fri Apr 16 @ 11:59p
 

MLR: Percentiles, robust MLR, missing data, imputation

 
Tues
Apr 20
goto top		 8  

Review logistic regression (LR)
 
Wed
Apr 21
goto top		 JT LAB on eQuiz 3

Draft abstract due 
Wed Apr 21 @ 11:59p
or last week of course 

  
Thurs
Apr 22
goto top		 NO CLASS

e-Quiz 3 due 
Fri Apr 23 @ 11:59p
or last week of course 
e-Quiz 3 is OPTIONAL

  
Tues
Apr 27
goto top		 9  

LR: Model checking; detailed example; classification; cross validation; meta-analysis

 
Wed
Apr 28
goto top		 JT LAB on eQuiz 4    
Thurs
Apr 29
goto top		 10

e-Quiz 4 due 
Mon May 3 @11:59p
or last week of course;
e-Quiz 4 is OPTIONAL


 

LR: Ordinal and polytomous categorical responses

 
Tues
May 4
goto top		 11

LR: Multinomial logistic regression; examples
 
Wed
May 5
goto top		 JT LAB on eQuiz 5  

 

Thurs
May 6
goto top		 12

EXAM due
noon Tue, May 11
or last day of course

 

Tues
May 11
goto top		 13

e-Quiz 5 due 
Wed, May 12 @ 11:59p
or last week of course;
e-Quiz 5 is OPTIONAL
 

LR: Conditional logistic; other logistic regression topics
 
Thurs
May 13
goto top		 14  

Review log-linear (Poisson) regression (LLR); LLR for contingency tables

 
Tue
May 18
goto top		 15

Project due:
Tues, May 18 @11:59p
graduates

Review survival analysis (SA); survival curves, Kaplan-Meier estimate, log-rank test, parametric and non-parametric models
 

Thurs
May 20
goto top

 16

Project due:
Fri, May 21 @11:59p
non-graduates

SA: Cox proportional hazards regression model, diagnostics and model checking, example; time-dependent covariates, multiple events, recurrent events, clustered survival data 

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  Last edited: 06 May, 2021

 
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