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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 2016 (2) Additional Readings and Videos (3) Stata Users (4) R Users, and (5) Other (Applets, Calcculators, etc.)
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(1) BIOSTATS 640  2016 
Lecture Notes  2016 6. Introduction to Survival Analysis (pdf, 53 pp) 
(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 Exercises due Amherst & Online Section Wednesday April 6, 2016, Worcester Section Monday April 11, 2016
Questions (pdf, 2 pp) Data (none you create it!) 


(2) Additional Readings and Videos 
(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 (html)

(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 HaibeKains, 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) 



