BIOSTATS 640
Intermediate Biostatistics
Biostatistics and Epidemiology
UMass Amherst

 

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1. Review of BIOSTATS 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) BIOSTATS 640 2017 (2) Additional Readings and Videos (3) Stata Users (4) R Users, and (5) Other (Applets, Calculators, etc.)

(1) BIOSTATS 640 - 2017
Lecture Notes - 2017 2. Regression and Correlatin (pdf, 62 pp)
FAQ 1 - Schematic of Analysis of Variance (pdf, 2 pp)
FAQ 2 - Confounding and Effect Modification (pdf, 9 pp)
FAQ 3 - Incremental Sums of Squares, Analysis of Variance and Partial F-Tests (pdf, 2 pp)
For Discussion/Group Work (pdf, 1 pp) SOLUTIONS (pdf, 2 pp)
Homework (1 of 2 ) due Wednesday February 8, 2017 Questions (pdf, 4 pp) Download data (week02.dta) Download data (larvae.dta) Solutions-Stata (pdf, 18 pp) Solutions - R (pdf, 14 pp)
Homework (2 of 2) due Wednesday February 15, 2017 Questions (pdf, 3 pp) Download data (framingham_1000.dta) Solutions - Stata (pdf, 8 pp) Solutions - R (pdf, 7 pp)




(2) Additional Readings and Videos
Simple Linear Regression:
(Source: BBaldi at WH Freeman, 2006) Looking at Data: Relationships (pdf, 12 pages, 23 slides)
(Source: JHSPH Open Course Ware Course - Statistical Reasoning II John McGready, Instructor)
Lecture 4a: Simple Linear Regression (pdf, 19 slides)
(Source: JHSPH Open Course Ware Course - Statistical Reasoning II John McGready, Instructor)
Lecture 4b: Linear Regression: Motivating Example (pdf, 23 slides)
(Source: JHSPH Open Course Ware Course - Statistical Reasoning II John McGready, Instructor)
Lecture 4c: Simple Linear Regression: More Examples (pdf, 21 slides)
(Source: JHSPH Open Course Ware Course - Statistical Reasoning II John McGready, Instructor)
Lecture 4d: Simple Linear Regression Model: Estimating the Regression Equation (pdf, 27 slides)
(Source: JHSPH Open Course Ware Course - Statistical Reasoning II John McGready, Instructor)
Lecture 4e: Measuring the Strength of a Linear Association (pdf, 23 slides)
(Source: JHSPH Open Course Ware Course - Statistical Reasoning II John McGready, Instructor)
Lecture 4f: Some FYI's about SLR (pdf, 11 slides)
(Source: Jeremy Balka's Statistics Channel - jbstatistics)
VIDEO: Introduction to Simple Linear Regression (video 8:09)
(Source: Jeremy Balka's Statistics Channel - jbstatistics)
VIDEO: The Least Squares Regression Line (video 7:24)
(Source: Jeremy Balka's Statistics Channel - jbstatistics)
VIDEO: Simple Linear Regression: Interpreting Model Parameters (video 5:05)
(Source: Jeremy Balka's Statistics Channel - jbstatistics)
VIDEO: Assumptions (video 3:05)
(Source: Jeremy Balka's Statistics Channel - jbstatistics)
VIDEO: Checking Assumptions with Residuals Plots (video 8:04)
Multiple Linear Regression:
(Source: John McGready, Johns Hopkins University) Statistical Interaction and Linear Regression (pdf, 37 slides, 7 pp)
(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)
Multiple Linear Regression
(Source: courses.washington.edu/b515/l7) Lecture 7 - Linear Regression Diagnostics (pdf, 40 slides)
Multiple Linear Regression
(Source: courses.washington.edu/b515/l8) Lecture 8 - Regression Diagnostics - continued (pdf, 28 slides)
Multiple Linear Regression
(Source: courses.washington.edu/b515/l9) Lecture 9 - Variable Selection (pdf, 38 slides)


(3) Stata Users
BIOSTATS 640 Stata Illustration: Simple and Multiple Linear Regression (pdf, 27 pp) (ers.dta) (p53paper.dta)
(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: StataCorp LP Youtube Channel - Chuck Huber)
VIDEO: Simple Linear Regression in Stata (video 5:15)
Illustration (quite nice!) of Some Basic Group Comparisons and Linear Regression
(Source: Klaus K. Holst, University of Copenhagen) Statistics in Stata: Quantitative Data, Group Comparisons and Linear Regression (pdf, 17 pp)
Illustration of Simple and Multiple Linear Regression
Lab Session #1 - Illustration Simple & Linear Regression (pdf, 27 pp) Download (ers.dta) Download (p53paper.dta)
Multiple Linear Regression
(Source: Oscar Torres-Reyna, Princeton University) Linear Regression in Stata, 46 pp - a very helpful worked example in Stata (html)
Multiple Linear Regression
(Source: IDRE UCLA Academic Techonology Services) Stata Web Book: Regression with Stata (html)
Multiple Linear Regression
(Source: IDRE UCLA Academic Technology Services) Stata Web Book: Linear Regression Diagnostics (html)


(4) R Users
BIOSTATS 640 R Illustration: Simple and Multiple Linear Regression (pdf, 33 pp)
VIDEO
Simple Linear Regression

(Source: Christoph Scherber, University of Gottingen) Statistics with R (1) - Linear Regression (video, 19:21 min)
Multiple Linear Regression
(Source: Oscar Torres-Reyna, Princeton University) Getting Started in Linear Regression Using R (pdf, 24 pp)
Multiple Linear Regression
(Source: UCLA Department of Statistics - Statistical Consulting Center) Introduction to Regression in R. Part II - Multiple Predictor Regression (html)
Multiple Linear Regression
(Source: William J. King, Coastal Carolina University) R Tutorials - R Model Formulae (html)
Multiple Linear Regression
(Source: www.statmethods.net) Quick R - Multiple Linear Regression (html)





(5) Other (Applets, Calculators, etc.)
(Source: University of Illinois Urbana-Champaign) Online Calculator. Tip - Try the athlete's data (html)
(Source: Stat Trek AP Statistics) Statistics Tutorial: Least Squares Linear Regression (html)
(Source: Stat Trek AP Statistics) Statistics Tutorial: Correlation and Linearity (html)

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

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

CALCULATOR (Source: University of Illinois Urbana-Champaign) Online Regression Calculator. Tip - Try the athlete's data (html)
SPSS (Source: Palgrave) Introduction to Multiple Regression, including SPSS illustration (html)
SAS (Source: UCLA Academic Technology Services) For SAS Users: Regression with SAS, Chapter 1 (html)
SAS Simple Linear Regression: Emergency Calls to the NY Auto Club (Illustration) (ers.sas7bdat)

 

 

 


 

 

 



  


     



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University of Massachusetts at Amherst
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This is the course web site for BIOSTATS 640, Biostatistics Program, Department of Biostatistics and Epidemiology.
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Send comments or questions about this web site to cbigelow@schoolph.umass.edu.
Page updated: February 20, 2017