Survival Analysis New York 2009

New York, NY
Friday, October 23, 2009
Survival Analysis New York 2009
Friday, October 23, 2009 9:00 AM -
Saturday, October 24, 2009 4:00 PM (Eastern Time)

Club Quarters Midtown
40 West 45th Street
New York, NY 10036

Map and Directions

Survival Analysis Using Stata

A 2-Day Seminar on the Analysis of Event Data

October 23-24, 2009, at the Club Quarters Midtown
New York, NY

Taught by Paul D. Allison, Ph.D.

How to study the causes of

  • Births and Deaths
  • Marriages and Divorces
  • Arrests and Convictions
  • Job Changes and Promotions
  • Bankruptcies and Mergers
  • Loan Defaults and Prepayments 
  • Wars and Revolutions
  • Residence Changes
  • Consumer Purchases
  • Adoption of Innovations
  • Hospitalizations

For survival 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 course

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:

  • How to organize survival data.
  • How to choose the right time axis.
  • When to use discrete vs. continuous time methods.
  • How to handle left censoring.
  • What to do about nonproportionality.
  • How to compute R-squared.
  • When and how to correct for unobserved heterogeneity.
  • How frequently to measure independent variables.
  • What to do if there is more than one kind of event.
  • How to test for sensitivity to informative censoring.  

Who should attend?

If you need to analyze longitudinal event data and have a basic statistical background, this course is for you. You should have a good working knowledge of the principles and practice of multiple regression, as well as elementary statistical inference. But you do not need to know matrix algebra, calculus, or likelihood theory.

Previous participants have come from a wide variety of fields: sociology, demography, psychology, economics, management, finance, history, marketing, biology, medicine, veterinary medicine and criminal justice.

Location, format, materials

The seminar meets on Friday, October 23, and Saturday, October 24,  at the Club Quarters Hotel in Midtown Manhattan, a 5-minute walk from Broadway and the theater district.  A block of rooms has been reserved at the hotel. Class will begin at 9 a.m. each day and end approximately 4 p.m., with a 1-hour break for lunch.  A continental breakfast will be provided.

Unlike Dr. Allison's five-day courses, this one does not include  hands-on computing. However, you are welcome to bring a laptop to class.  All participants receive a 140-page manual containing detailed lecture notes (with equations and graphics), examples of computer printout, and many other useful features. This book frees participants from the distracting task of notetaking.  The fee of $750 includes all course materials. 

All examples and lecture notes will use Stata.  However, lecture notes using SAS are also available on request.

Course outline

1.  Fundamentals of survival analysis
2.  Problems with conventional methods
3. Types of censoring
4. Kaplan-Meier estimation
5. Proportional hazards models
6. Partial likelihood estimation
7. Interpretation of parameters
8. Competing risks
9. Time dependent covariates
10. Discrete time analysis
11. Sensitivity analysis for censoring
12. Choice of time axis
13. Testing the proportional hazards assumption
14. Stratification
15. Heterogeneity and time dependence
16. R-squared
17. Repeated events
18. Left censoring, left truncation




Contact Information

  • Phone: 610-715-5702 Fax: 215-573-2081 Email:

Payment Instructions

  • The course fee is $750, which includes all course materials and a buffet breakfast at the hotel. All major credit cards are accepted via online registration.

    If you prefer to pay by check, make the check out to Statistical Horizons and send to

    Statistical Horizons
    530 New Gulph Rd.
    Haverford, PA  19041

    If you want to pay by purchase order, send the purchase order to the address above, or to

    Our Tax ID number is 26-4576270.

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