BIOSTATS 640 Intermediate Biostatistics Biostatistics and Epidemiology UMass Amherst

HOME

For Students

1. Review of BIOSTATS 540
2. Discrete Distributions

3. Introduction to Nonparametrics

4. Categorical Data Analysis

5. Normal Theory Regression
6. Analysis of Variance

7. Logistic Regression
8. Introduction to Survival Analysis
9. (Time permitting) Introduction to Mixed Models

7. Logistic Regression

Scroll down for (1) BIOSTATS 640 2021 (2) Additional Readings and Videos (3) Resources for Learning R (4) Resources for Learning Stata, and (5) Other (Applets, Calculators, etc.)

(1) BIOSTATS 640 - 2021
Lecture Notes - 2021 course notes, 7. Logistic Regression (pdf, 63 pp)
R Users
R Users

Stata Users
Stata Users
Spring 2021 Illustration - R for Logistic Regression (pdf, 18 pp)
Homework due Friday April 30, 2021 Questions (pdf, 4 pp)
(depress.dta) illeetvilaine.dta)
Or, if you have an earlier version of Stata, download (illeetvilaine version 12.dta)
SOLUTIONS to homework
corrected 4/27/2021 R Users (pdf, 11 pp)
Stata Users (pdf, 11 pp)

(Source: John Mc Gready, Johns Hopkins SPH) Statistical Reasoning II
Lecture 7a - Review of Logarithms: A Short Review (pdf, 10 slides)
(Source: John Mc Gready, Johns Hopkins SPH) Statistical Reasoning II
Lecture 7b - The Case for Logistic Regression (pdf, 36 slides)
(Source: John Mc Gready, Johns Hopkins SPH) Statistical Reasoning II
Lecture 7c - More Examples of Simple Logistic Regression (pdf, 12 slides)
(Source: John Mc Gready, Johns Hopkins SPH) Statistical Reasoning II
Lecture 8a - Multiple Logistic Regression (32 slides)
(Source: John Mc Gready, Johns Hopkins SPH) Statistical Reasoning II
Lecture 8b - Interaction in Logistic Regression (32 slides)
(Source: John Mc Gready, Johns Hopkins SPH) Statistical Reasoning II
Lecture 8c - Example: Analysis of Sepsis Data Using Logistic Regression (34 slides)
(Source: John Mc Gready, Johns Hopkins SPH) Statistical Reasoning II
Lecture 9a - Logistic Regression: Tying it All Together, Examples (pdf, 39 slides)
(Source: John Mc Gready, Johns Hopkins SPH) Statistical Reasoning II
Lecture 9b - Logistic Regression for Case-Control Studies (25 slides)
(Source: John Mc Gready, Johns Hopkins SPH) Statistical Reasoning II
Lecture 9c
- Quick Example of Interaction in Logistic Regression (9 slides)
(Source: https://www.ebpi.uzh.ch/dam/jcr:5764104b-a3b3-451d-828d-34bed6c804fb/InteractionsStataR20170622.pdf ) Interpreting Interactions (html)
(Source: Asad Khan, University of Queensland) Model Building Using Logistic Regression (pdf, 35 slides)
(Source: IDRE UCLA) FAQ: What are Pseudo R-Squareds (html)
(Source: Sandy Eckel, Johns Hopkins SPH) Lecture 15: Effect Modification and Confounding in Logistic Regression (pdf, 50 slides)
(Source: Myung, J. & Pitt, M. Ohio State University) Model Selection Methods (pdf, 76 pp)

(3) Resources for R Learners
(Source: http://staff.pubhealth.ku.dk/~tag/Teaching/BasicStats/lecturenotes/LogisticRegression.pdf) Logistic Regression Analysis (pdf, 51 pp)
(Source: Oscar Torres-Reyna, Data & Statistical Services Training, Princeton University) Logit,Probit and Multinomial Models in R (pdf, 27 pp)
(Source: https://stats.idre.ucla.edu/r/dae/logit-regression/) Logistic Regression R Data Analysis Examples (html)
(Source: Mangiafico Salvatore. R Companion for Handbook of Biological Sciences ) Simple Logistic Regression (html)
(Source: Mangiafico Salvatore. R Companion for Handbook of Biological Sciences ) Multiple Logistic Regression (html)
(Source: German Rodrigues, Princeton University) 5. Generalized Linear Models and 5.2 Logistic Regression (html)
Spring 2021 Illustration- R for Logistic Regression (pdf, 18 pp)

(4) Resources for Stata Learners
(Source: Oscar Torres-Reyna, Data & Statistical Services Training, Princeton University) Getting Started in Logit and Ordered Logit Regression (pdf, 34 pp)Illustration of Logistic Regression - (pdf, 30 pp) Download (illeetvilaine version 12.dta)

(Source: StataCorp LP Youtube Channel - Chuck Huber)
VIDEO: 3 video set on Logistic Regression in Stata (html for all 3 videos)
Part 1: Logistic Regression with a Binary Predictor
Part 2: Logistic Regression with a Continuous Predictor
Part 3: Logistic Regression with a Factor Variable Predictor

(Source: Mark Lunt, University of Manchester) Modeling Binary Outcomes (pdf, 29 pp)

(Source: Asad Khan, University of Queensland) Model Building Using Logistic Regression (pdf, 35 slides)

(5) Other (Applets, Calculators, etc.)
(Source: UCLA Technology Services) For SAS Users - An Introduction to Proc Logistic (html)
(Source: Afifi, Clark & May, 2004) Depression Data Set (note: right click to download):
(
SAS) (Formats code in SAS)

SAS for simple logistic regression (pdf, 5 pp)

• .

.

.

.

.

.

.

 Copyright 2021 University of Massachusetts, Amherst. This is the course web site for BIOSTATS 640, Biostatistics Program, Department of Biostatistics and Epidemiology. Produced and maintained by the School of Public Health and Health Sciences. Send comments or questions about this web site to cbigelow@schoolph.umass.edu. Page updated: April 27, 2021