TY - JOUR
AU - Thompson, John
AB - Biometrics 73, 356–359 DOI: 10.1002/biom.12674 March 2017 BOOK REVIEWS EDITOR: DONNA PAULER ANKERST Mendelian Randomization: Methods for Using Meta-analysis: A Structural Equation Genetic Variants in Causal Estimation Modeling Approach (Stephen Burgess and Simon G. Thompson) (MW-L Cheung) Suzanne Jak John Thompson Noninferiority Testing in Clinical Trials: Applied Multivariate Statistics with R Issues and Challenges (Daniel Zelterman) Donna Pauler Ankerst (Tie-Hua Ng) Sonja Grill STEPHEN BURGESS, SIMON G. THOMPSON. minimum and emphasis is on explaining the ideas that under- Mendelian Randomization: Methods for Using lie MR. Genetic Variants in Causal Estimation. Boca Raton: The first half of the book provides an introduction to MR, CRC Press links it to causal inference and instrumental variable analy- sis and then discusses examples. The section half considers About 20 years ago there was much talk of whether epidemi- some statistical issues associated with MR, in particular the ology had reached its limits (Taubes and Charles, 1995). The bias induced by weak genetic associations, the way that many clearest risk factors had been identified and epidemiologists variants can be combined to increase power and the role of were struggling to distinguish smaller risks from the effects of meta-analysis in MR. The book concludes with 
TI - STEPHEN BURGESS, SIMON G. THOMPSON. Mendelian Randomization: Methods for Using Genetic Variants in Causal Estimation. Boca Raton: CRC Press
JO - Biometrics
DO - 10.1111/biom.12674
DA - 2017-03-23
UR - https://www.deepdyve.com/lp/oxford-university-press/stephen-burgess-simon-g-thompson-mendelian-randomization-methods-for-OaJSWdPZ0x
SP - 356
EP - 356
VL - 73
IS - 1
DP - DeepDyve
ER -