Biostatistics 140.641

 Survival Analysis

Third Term, 2005

 Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health

   

Instructor: 

·        Dr. Steve Selvin
Johns Hopkins University
Bloomberg School of Public Health 
Room E6014
e-mail: steve.selvin@gmail.com

LECTURES:

·        Tuesday, Thursday 3:30 pm - 4:50 pm
Room:  HAMPTON HOUSE BASEMENT AUDITORIUM (NOTE ROOM CHANGE!)

TEACHING ASSISTANTS:

·        Brian Egleston   (Email: beglesto@jhsph.edu) 
Office hour for homework/research help: Mondays 1-2 pm,  Hampton House Room 531 

Advanced theory lab (for Biostat. students and any others interested):   
     Tuesdays 9-10 Biostatistics Conference Room
     or Mondays 2-3 pm in Hampton House 531 if you cannot attend Tuesday's session.

·        Qing Li             (Email: qli@jhsph.edu)
General lab (not necessary if attending advanced theory lab): Wednesdays 2:30-3:30 pm
      Hampton House Room 144

Computer lab: Fridays 10-11 am, Room W3017  
      The first computer lab (February 4, 2005) will cover basic knowledge about programming using STATA and R. (Getting the program running, Data Structure used in programming, Q&A)

Class Overview:

·        Introduction

Lecture Notes:

·        Lecture 1:   Rates 

·        Lecture 2:   Kaplan Meier

·        Lecture 3:   Life Tables

·        Lecture 4:   Estimation

·        Lecture 5:   Exponential Distribution 

·        Lecture 6:   Weibull Distribution

·        Lecture 7:   Two Sample Data

·        Lecture 8:   Parametric Models

·        Lecture 9:   Nonparametric Models

 

LAB NOTES:

·        Advanced Theory

·        Feb 1/Feb 8 labs - Homework Problems
    Feb 1 Solutions
    Feb 8 Solutions
Feb 15 Problem
          Feb 15 Solutions
          Using R to solve complicated MLE problems
Feb 22 Problems
           Feb 22 Solutions
March 1 Problem
           March 1 Solution
March 8 Problem
           March 8 Solution
March 15 Problem
           March 15 Solution
 

·        Computer Lab
The first computer lab (February 4, 2005) will cover basic knowledge about programming using STATA and R. (Getting the program running, Data Structure used in programming, Q&A)

·        Computer Lab 1:  Notes,  Survey

·        The past week (March 4) and next week (March 11) lab cover the STATA commands to solve the same problems in the "computer example" posted on our website.
March 4: One sample, two sample K-M, and regression
  KM documentation
  One Sample Toy Data
  Two Sample Toy Data

·        March 11: Cox proportional model and residual analysis
  Proportional Hazards Model Notes
  Survival Analysis Toy Data

EXPONENTIAL AND WEIBULL ESTIMATION:

·        Computer Example

HOMEWORKS:

·        Problem Sets

References:

·        Collett, D., Modelling Survival Data in Medical Research 1994, Chapman and Hall

·        Cox, D. R. and Oakes, D., Analysis of Survival Data 1994, Chapman and Hall

·        Kalbfleisch, J. D. and Prentice, R. L., The Statistical Analysis of Failure Time Data 2002, Wiley

·        Lee, E., Statistical Methods for Survival Data Analysis 1992, Wadowrth, 2nd edition

·        Mario Cleves, William W. Gould, and Roberto Gutierrez, An Introduction to Survival Analysis Using Stata, 2002, Stata Press

·        Paul D. Allison, Survival Analysis Using the SAS System 1995, SAS Institute Inc.

OTHER LINKS:

·        LINKS to SAS Information

o       SAS website

o       SAS Textbook Examples: Survival Analysis, by Klein and Moeschberger

o       SAS Lab handout 1 (old), by Chiung-Yu Huang 

o       SAS Lab handout 2 (old), by Shou-En Lu 

·        LINKS to Stata Information

o       Stata website

o       Stata Textbook Examples: Applied Survivial Analysis, by Hosmer and Lemeshow

o       Survival Analysis with Stata, Institute for Social and Economic Research

     Last edited: 11 March, 2005

      Send email to beglesto@jhsph.edu