publication . Article . Other literature type . 2008

Mendelian randomization: using genes as instruments for making causal inferences in epidemiology.

Jonathan A C Sterne; Roger M. Harbord; Nicholas J. Timpson; Debbie A. Lawlor; George Davey Smith;
Restricted
  • Published: 15 Apr 2008 Journal: Statistics in Medicine, volume 27, pages 1,133-1,163 (issn: 0277-6715, eissn: 1097-0258, Copyright policy)
  • Publisher: Wiley
Abstract
Observational epidemiological studies suffer from many potential biases, from confounding and from reverse causation, and this limits their ability to robustly identify causal associations. Several high-profile situations exist in which randomized controlled trials of precisely the same intervention that has been examined in observational studies have produced markedly different findings. In other observational sciences, the use of instrumental variable (IV) approaches has been one approach to strengthening causal inferences in non-experimental situations. The use of germline genetic variants that proxy for environmentally modifiable exposures as instruments for...
Read more
doi: 10.1002/sim.3034
Subjects
free text keywords: Confounding, Econometrics, Causal inference, Instrumental variable, Randomized controlled trial, law.invention, law, Mendelian Randomization Analysis, Causal model, Observational study, Cognitive psychology, Psychology, Mendelian randomization
Related Organizations
Download fromView all 2 versions
http://dx.doi.org/10.1002/sim....
Other literature type . 2008
Provider: Datacite
Statistics in Medicine
Article
Provider: Microsoft Academic Graph
Statistics in Medicine
Article . 2007
Provider: Crossref
Wiley/ Statistics in Medicine
Powered by OpenAIRE Research Graph
Any information missing or wrong?Report an Issue