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

6. Survival Analysis

Scroll down for (1) BIOSTATS 640 2017 (2) Additional Readings and Videos (3) Stata Users (4) R Users, and (5) Other (Applets, Calcculators, etc.)

(1) BIOSTATS 640 - 2017
Lecture Notes - 2017 6. Introduction to Survival Analysis (pdf, 53 pp) Downlaod (unit6_page11.dta)
(Source: John Mc Gready, Johns Hopkins SPH) Statistical Reasoning I Lecture 7 - The Case for Survival Analysis (pdf, 109 slides)
(Source: UCLA Institute for Digital Research and Education - IDRE) Survival Analysis with Stata (html)
Homework due Questions (pdf, 2 pp)
SOLUTIONS to homework R USERS (pdf, 9 pp) Stata Users (pdf, 9 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) Stata Users

(Source: UCLA Academic Technology Services) Statistical Computing Seminars - Survival Analysis with STATA - Seminar
(Source: UCLA Academic Technology Services Statistical Consulting) Stata and R Examples from Text by Hosmer, Lemeshow & May (html)
(Source: Harvard University) A very nice chart summarizing the Stata commands for a survival analysis (pdf, 2 pp)

(4) R Users
(Source: UCLA Academic Technology Services Statistical Consulting) R and Stata Examples from Text by Hosmer, Lemeshow & May (html)
(Source: Lucy Cheng, University of British Columbia, Canada) Introduction to Survival Analysis in R (pdf slides)
(Source: Benjamin Haibe-Kains, Dana Farber Cancer Institute, Cambridge MA) Introduction to R and Bioconductor Survival Analysis (pdf, slides)

(5) Other (Applets, Calculators, etc.)
(Source: UCLA Academic Technology Services) Survival Analysis with SAS (html)

 Copyright 2017 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 6, 2017