PubHlth 640
Intermediate Biostatistics
Biostatistics and Epidemiology
UMass Amherst

 

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1. Review of PubHlth 540
 2. Regression and Correlation
3. Discrete Distributions
4. Categorical Data Analysis
5. Logistic Regression
6. Introduction to Survival Analysis
7. Analysis of Variance
8. Repeated Measures Analysis
9. Nonparametrics

2. Regression and Correlation

Scroll down for (1) PubHlth 640 2012 (2) additional readings (3) illustrative applets (4) calculators, (5) computer illustrations, and (6) miscellaneous.

(1) PubHlth 640 - 2012
Lecture Notes - 2012
(pdf, 80 pp)
FAQ 1 - Schematic of Analysis of Variance (pdf, 2 pp)
  
FAQ 2 - Confounding and Effect Modification (pdf, 9 pp)
  
Text: Rosner B. Fundamentals of Biostatistics, Seventh Edition. Brooks/Cole Cengage Learning. 2011
 Ch 11 (Regression) Sections 1-5 pp 427-448
Text: Rosner B. Fundamentals of Biostatistics, Seventh Edition. Brooks/Cole Cengage Learning. 2011
 Ch 11 (Regression) Sections 6-11 pp 448-494
Stata v 12 Illustration - A First Session
 (pdf, 18 pp)
Stata v 12 Illustration - Simple Linear Regression: Emergency Calls to the NY Auto Club
 (pdf, 12 pp)
Stata v 12 Illustration - Multiple Linear Regression: Human p53 and Breast Cancer Risk
 (pdf, 16 pp)
SAS Illustration - Simple Linear Regression: Emergency Calls to the NY Auto Club
 (pdf, 11 pp)
Right click to download data (ers.sas7bdat)
Practice problems due Monday February 13, 3012
(pdf, 7 pp)
Data sets for practice problems - RIGHT click on data set name to download to your desktop
 STATA users:
For question 3: (week02.dta)
For question 6: (week03.dta)

SAS users:
For question 3: (temp.sas7bdat)
For question 6: (week03.sas7bdat)
SOLUTIONS to practice problems
 Solutions for STATA users (pdf, 19 pp)
Solutions for SAS users (pdf, 22 pp)




(2) Additional Reading
(Source: Stat Trek AP Statistics) Statistics Tutorial: Least Squares Linear Regression (html)

(Source: Stat Trek AP Statistics) Statistics Tutorial: Correlation and Linearity (html)
  
(Source: Palgrave) Introduction to Multiple Regression, including SPSS illustration (html)
  
(Source: UCLA Academic Technology Services) For SAS Users: Regression with SAS, Chapter 1 (html)
  
(Source: UCLA Academic Technology Services) For STATA Users: Regression with Stata, Lesson 1 (html)
  
(Source: UCLA Academic Technology Services) For STATA Users: Linear Regression Diagnostics (html)
  
(Source: JHSPH Open Course Ware Course - Statistical Reasoning II John McGready, Instructor)
 Lecture 5a: Relating a Continuous Outcome to More Than 1 Predictor - Multiple Linear Regression (html)
  
(Source: JHSPH Open Course Ware Course - Statistical Reasoning II John McGready, Instructor)
 Lecture 5b: More Examples (html)
  
(Source: JHSPH Open Course Ware Course - Statistical Reasoning II John McGready, Instructor)
 Lecture 5c: Variability in Multiple Linear Regression: Assessing Linearity and Goodness of Fit (html)
  
(Source: JHSPH Open Course Ware Course - Statistical Reasoning II John McGready, Instructor)
 Lecture 5d: Handling Multiple Categorical Predictors in Multiple Linear Regression (html)
  
(Source: JHSPH Open Course Ware Course - Statistical Reasoning II John McGready, Instructor)
 Lecture 6a: More Multiple Linear Regression (html)
  
(Source: JHSPH Open Course Ware Course - Statistical Reasoning II John McGready, Instructor)
 Lecture 6b: More Details About Multiple Linear Regression. See especially pp 24-36 (html)
  

 

(3) Illustrative Applets

(Source: Samuel Baker, University of South Carolina) Applet for Simple Linear Regression (html)

(Source: Charles Stanton, California State University San Bernadino) Applet for Simple Linear Regression (html)

  
 


(4) Calculators
(Source: University of Illinois Urbana-Champaign) Online Calculator. Tip - Try the athlete's data (html)
 
 


 

(5) Computer Illustrations
Simple Linear Regression
STATA Users: Emergency Calls to the NY Auto Club (pdf, 12 pp)
SAS Users: Emergency Calls to the NY Auto Club (Illustration) (ers.sas7bdat)
  
Multiple Linear Regression
 
STATA Users: Human p53 and Breast Cancer Risk (pdf, 16 pp)
  



(6) Miscellaneous

UCLA Academic Technology Services
        Regression with SAS (html)
        Regression with STATA (html)

 
 
 
 


 

 


 

 

 



  


     



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 Copyright 2012 University of Massachusetts, Amherst.
This is the course web site for PubHtlh 640W, Department of Biostatistics and Epidemiology.
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Page updated: February 11, 2012