Applied Survival Analysis
Presenter: Susanne May, Ph.D., University of Washington, Seattle
Date: May 10, 2012
Location: Cecil College, One Seahawk Drive, North East, MD 21901
Registration Fee: $65
Register online here: https://www.123signup.com/register?id=sxpnq
Abstract
After this course you should be able to determine when survival analysis can or should be used for answering research questions and understand the concepts underlying this analysis approach. If you are familiar with applying other regression models you should be able to run survival analysis regression models and interpret the results. If you are not familiar running other regression models, you should be able to understand what steps and issues are important in survival analysis regression and be able to interpret results.
The course does not assume prior knowledge of survival analysis techniques, but familiarity with either linear or logistic regression is assumed. Mathematical details are kept to a minimum. Approaches will be illustrated with examples.
Introduction to survival analysis
- Survival analysis data
- Descriptive methods
- Comparison of survival functions
Regression modeling of survival data
- Fitting the Cox proportional hazards model
- Interpretation of the fitted model
- Model building strategies
- Assessing model adequacy
Extensions of the proportional hazards model
- Stratified proportional hazards model
- Time-varying covariates
Other topics
Instructor
Dr. May is a co-author, with Drs. David W. Hosmer and Stanley Lemeshow, of the second edition of the book Applied Survival Analysis: Regression Modeling of Time to Event Data, published by Wiley.
Dr. May co-authors, with Drs. Abdelmonem Afifi and Virginia A. Clark, the book Practical Multivariate Analysis (formerly Computer-Aided Multivariate Analysis), published by Chapman & Hall/CRC Press.
She has over fifteen years of experience in providing statistical support for research projects.