Time: March 27, 2015 at 9am to March 28, 2015 at 5pm
Location: Temple University Center City
Street: 1515 Market Street
Website or Map: http://www.statisticalhorizon…
Event Type: training, seminar
Organized By: Statistical Horizons LLC
Latest Activity: Dec 23, 2014
Taught by Paul 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.
How you will benefit from this seminar
Survival Analysis covers both the theory and practice of survival methodology. Assuming no previous knowledge of survival analysis, this course will turn you into a knowledgeable and skilled user of these indispensable techniques. Here are a few of the skills you will acquire:
This is a hands-on course with ample opportunity for participants to practice survival analysis.