Time: August 14, 2014 at 9am to August 15, 2014 at 4pm
Location: Hotel Birger Jarl
Street: Tulegatan 8
City/Town: Stockholm, Sweden
Website or Map: http://www.statisticalhorizon…
Event Type: training, seminar
Organized By: Statistical Horizons LLC
Latest Activity: Apr 17, 2014
Taught by Paul Allison, Ph.D. If you’ve ever used regression analysis on longitudinal event data, you’ve probably come up against two intractable problems:
1. 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?
2. 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.