The INI has a new website!

This is a legacy webpage. Please visit the new site to ensure you are seeing up to date information.

Skip to content

SCB

Seminar

Covariate information in complex event history data - some thoughts arising from a case study

Arjas, E (Helsinki)
Tuesday 21 November 2006, 11:30-12:30

Seminar Room 1, Newton Institute

Abstract

The motivation behind this talk comes from considering epidemiological follow-up data for the purpose of studying the role of various risk factors of cardiovascular diseases. Commonly in such studies the statistical analysis is based on a hazard regression model where the covariates (e.g. blood pressure, cholesterol level, or body mass index) are measured only at the baseline. In addition to considering such more traditional risk factors, it is becoming increasingly common to try and assess also the role of some genetic factors contributing to the aetiology of such diseases, and then usually restricting the analysis to certain candidate loci that are potentially causative on the basis of the available information about their function. In principle, the corresponding causal mechanisms can involve pathways that are direct in the sense that they influence, in the postulated model structure, directly the outcome variable, or indirect in that their effect on the outcome is mediated via the levels of the measured risk factors.

Presentation

[ppt ]

Audio

MP3MP3

Slideshow (view full screen)

Flash Player is required to view the Flash presentation. Get the Flash Player.

Back to top ∧