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Event History & Survival Analysis

Event Details

Event History &  Survival Analysis

Time: July 14, 2014 at 9am to July 18, 2014 at 5pm
Location: The Hub Commerce Square
Street: 2001 Market St.
City/Town: Philadelphia
Website or Map: http://www.statisticalhorizon…
Phone: 610-642-1941
Event Type: training, seminar
Organized By: Statistical Horizons LLC
Latest Activity: Apr 17, 2014

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Event Description

A five-day seminar taught by Paul D. Allison, Ph.D. For event-time data, ordinary regression analysis won’t do the job.

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.

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