Casual inference in observational epidemiology: looking into mechanism
Duration: 12 mins 16 secs
Share this media item:
Embed this media item:
Embed this media item:
About this item
Description: |
Berzuini, C (Stats Lab)
Monday 26 September 2011, 14:40-14:50 |
---|
Created: | 2011-10-04 10:36 |
---|---|
Collection: |
Design and Analysis of Experiments
Cambridge Statistics Initiative 2011 |
Publisher: | Isaac Newton Institute |
Copyright: | Berzuini, C |
Language: | eng (English) |
Abstract: | We propose a method for the study of gene-gene, gene-environment and gene-treatment interactions which are interpretable in terms of mechanism. Tests for detecting mechanistic - as opposed to 'statistical' - interactions have been previously proposed, but they are meaningful only if a number of assumptions and conditions are verified. Con- sequently, they are not always applicable and, in those situations where they are, their validity depends on an appropriate choice of stratifying variables. This paper proposes a novel formulation of the problem. We illustrate the method with the aid of studies where evidence from case-control studies of genetic association is combined with information from biological experiments, to elucidate the role of specific molecular mechanism (au- tophagy, ion channels) in susceptibility to specific diseases (Crohn's Disease, Multiple Sclerosis). |
---|
Available Formats
Format | Quality | Bitrate | Size | |||
---|---|---|---|---|---|---|
MPEG-4 Video | 640x360 | 1.85 Mbits/sec | 170.37 MB | View | Download | |
WebM | 640x360 | 942.4 kbits/sec | 84.32 MB | View | Download | |
Flash Video | 484x272 | 569.42 kbits/sec | 51.16 MB | View | Download | |
iPod Video | 480x270 | 506.88 kbits/sec | 45.54 MB | View | Download | |
MP3 | 44100 Hz | 125.17 kbits/sec | 11.05 MB | Listen | Download | |
Auto * | (Allows browser to choose a format it supports) |