Course on Epidemiologic Research and New Directions
     
 

Course Program

 

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Session

Day/Time

Session Topic and Speaker

E Saturday
12:45-13:45
Use of the Whole Cohort in the Analysis of Case-Control and Case-Cohort Studies
Norman Breslow
Professor of Biostatistics
Department of Biostatistics, University of Washington, Seattle, WA, United States
Recommended Literature:
2) An article by myself and a former student (Chatterjee) from Applied Statistics, 1999. This is the most accessible paper (other than the one submitted above) for a general epidemiology audience on the work I have been doing in this area. Methods have progressed substantially since this was written.

Read this document on Scribd: Breslow ApplStats99


1) A book chapter on case-control studies I wrote for the recent Springer Handbook of Epidemiology. This falls in the category "could benefit from in general." [View Document]

3) A more technical paper by Borgan and colleagues from Lifetime Data Analysis (2000) [View Document] that describes the standard Horwitz-Thompson approach to analysis of stratified case-cohort studies. I think this is likely to be beyond the comprehension of most attendees. A major purpose of my presentation is to introduce the attendees to the availability of the R survey package developed by my colleague and co-author Thomas Lumley, and how it may be applied to case-control and case-cohort studies. Participants can access this package and some useful background materials themselves via the Comprehensive R Archive Network (CRAN) as follows:

1)
Navigate to the R Project home page: http//www.r-project.org/
2)
Select a nearby CRAN mirrow site (these are listed by country)
3)
From the CRAN site select "Packages" under "Software"
4)
Click on "S" and then on "survey"
5)
Download the Reference manual "survey.pdf" and the vignette "Two-phase designs in epidemiology". It is best to install the package itself from within R following instructions.
6)
Another relevant package available from the CRAN site is the NestedCohort package developed by Hormuzd Katki. This also contains a Reference Manual and a tutorial. I hope to be able to compare and contrast results obtained using both packages during my presentation.

Those who are interested can download the entire R package from the CRAN site (it is a free program) and could in principal have all this installed on their laptops for discussion during the session.

 
     

 

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Hosted and supported by the International Epidemiological Association

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18th World Congress of Epidemiology
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