BIOSTATS 640 Intermediate Biostatistics Biostatistics and Epidemiology UMass Amherst

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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

8. Introduction to Survival Analysis

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

(1) BIOSTATS 640 - 2021

Lecture Notes - 2021 course notes, 8. Introduction to Survival Analysis (pdf, 53 pp)
Stata Users Version from 2020 (pdf, 52 pp)

R Users

Stata Users

(Source: Kristin Sainani, Stanford) Introduction to Survival Analysis (pdf, 35 pp)
(Source: UCLA Institute for Digital Research and Education - IDRE) Survival Analysis with Stata (html)
(Source: Clark et al. Br J Can 2003 89: 232-238) Survival Analysis Part I: Basic concepts and first analyses (pdf, 6 pp)
Homework optional Questions (pdf, 2 pp)
SOLUTIONS to homework
R Users (pdf, 10 pp)
Stata Users (pdf, 11 pp)

(Source: University of Washington Biostat 515 Lecture 15) Introduction to Survival Analysis (html)
(Source: University of Washington Biostat 515 Lecture 16)
Regression with Time to Event (html)
(Source: University of Washington Biostat 515 Lecture 17)
Cox PH Models (html)

(Source: John McGready Johns Hopkins University) When Time is of Interest: The Case for Survival Analysis (pdf, 109 slides)

(Source: Richard Lowry, Vassar Stats) Kaplan Meier Probabilities (html)

(3) Resources for Learning R
(BIOSTATS 640 Spring 2020) Download dataset (pbc.Rdata) ILLUSTRATION: R for Survival Analysis 2021 (forthcoming)
(Source: UCLA Academic Technology Services) Textbook Examples of Applied Survival Analysis from textbook by Hosmer, Lemeshow & May (html)
(Source: Benjamin Haibe-Kains, Dana Farber Cancer Institute, Cambridge MA) Introduction to R and Bioconductor Survival Analysis (pdf, slides)

(4) Resources for Learning Stata

(BIOSTATS 640 Spring 2020) Download dataset (pbc.dta) ILLUSTRATION: Stata for Survival Analysis 2020 (pdf, 16 pp)
(Source: UCLA Academic Technology Services) Statistical Computing Seminars - Survival Analysis with STATA (html)
(Source: UCLA Academic Technology Services) Textbook Examples of Applied Survival Analysis from textbook by Hosmer, Lemeshow & May (html)

(5) Other Resources
(Source: UCLA Academic Technology Services) Survival Analysis with SAS (html)

 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: May 2, 2021