Sample size and power calculations in Mendelian randomization with a single instrumental variable and a binary outcome | Zendy

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Sample size and power calculations in Mendelian randomization with a single instrumental variable and a binary outcome

Author(s) -

Stephen Burgess

Publication year - 2014

Publication title -

international journal of epidemiology

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.406

H-Index - 208

eISSN - 1464-3685

pISSN - 0300-5771

DOI - 10.1093/ije/dyu005

Subject(s) - mendelian randomization , instrumental variable , sample size determination , statistics , outcome (game theory) , mathematics , binary number , contrast (vision) , variance (accounting) , sample (material) , econometrics , computer science , genetics , biology , arithmetic , genetic variants , chemistry , mathematical economics , accounting , chromatography , artificial intelligence , gene , genotype , business

Sample size calculations are an important tool for planning epidemiological studies. Large sample sizes are often required in Mendelian randomization investigations.

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