Statistical Methods

for event history analysis

One-Day Workshop

Speakers: Richard Cook and Jerry Lawless, University of Waterloo

Main Auditorium, Department of Public Health Sciences, University of Toronto
155 college Street, Room HS 610 (6th floor) Toronto, Ontario

 May 15, 2008, 8:30am – 5:00pm

Abstracts
Schedule
Registration

Call for Abstract

Visitor Information
Photos
Organizing Committee



“The Southern Ontario Regional Association of SSC, jointly with The Applied Biostatistics Association, SAS Canada, the University of Toronto, and York University, proudly present:

The Second Annual SORA / TABA Workshop on Bio- and Business- Statistics .”
   
   This one-day workshop is directed at statisticians in industry, government or academia interested in the analysis of recurrent event data. The course material will be presented in a lecture format but participants will have an opportunity to run analyses on datasets in a one-hour laboratory session at the end of the day. Examples drawn from medicine will motivate the methods presented and promote discussion, which the presenters will encourage through question and answer techniques. Attendees will learn how to analyze data on recurrent events and will be exposed to a range of problems. The assumptions underlying different methods of analysis, and practical and theoretical limitations of specific methods will be discussed. The material will be presented using slides and class discussion. Attendees will be given a booklet containing the slides, which will also indicate how to implement analyses in SAS, R or SPLUS. References to sections in the book The Statistical Analysis of Recurrent Events (Springer 2007), written by the presenters, will show where more detailed information about different topics can be found.


Intended for applied statisticians in business and biostatistics.
Registration fee is $95 per person, lunch included.



Sponsored by:
sas logo
                         sora logo
taba logo  
SAS Institute (Canada), Inc.
The Southern Ontario Regional Association
of the Statistical Society of Canada (SORA)
Department of Public Health Sciences,
 University of Toronto 		The Applied Biostatistics Association (TABA) York University