Date(s) - 10/28/2016 - 10/29/2016
This Statistical Horizons class, Survival Analysis, taught by Paul Allison, Ph.D., runs from October 28-29 in Los Angeles, California
If you’ve ever used regression analysis on longitudinal event data, you’ve probably come up against two intractable problems:
Censoring: Nearly every sample contains some cases that do not experience an event. If the dependent variable is the time of the event, what do you do with these “censored” cases?
Time-dependent covariates: Many explanatory variables (like income or blood pressure) change in value over time. How do you put such variables in a regression analysis?
Makeshift solutions to these questions can lead to severe biases. Survival methods are explicitly designed to deal with censoring and time-dependent covariates in a statistically correct way. Originally developed by biostatisticians, these methods have become popular in sociology, demography, psychology, economics, political science, and marketing.
The fee of $995 includes all course materials.