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Statistical Power and the Classical Twin Design.

Authors :
Sham, Pak C.
Purcell, Shaun M.
Cherny, Stacey S.
Neale, Michael C.
Neale, Benjamin M.
Evans, David
Medland, Sarah
Gillespie, Nathan
Source :
Twin Research & Human Genetics. Apr2020, Vol. 23 Issue 2, p87-89. 3p.
Publication Year :
2020

Abstract

Dr Nick Martin has made enormous contributions to the field of behavior genetics over the past 50 years. Of his many seminal papers that have had a profound impact, we focus on his early work on the power of twin studies. He was among the first to recognize the importance of sample size calculation before conducting a study to ensure sufficient power to detect the effects of interest. The elegant approach he developed, based on the noncentral chi-squared distribution, has been adopted by subsequent researchers for other genetic study designs, and today remains a standard tool for power calculations in structural equation modeling and other areas of statistical analysis. The present brief article discusses the main aspects of his seminal paper, and how it led to subsequent developments, by him and others, as the field of behavior genetics evolved into the present era. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
18324274
Volume :
23
Issue :
2
Database :
Academic Search Index
Journal :
Twin Research & Human Genetics
Publication Type :
Academic Journal
Accession number :
144219508
Full Text :
https://doi.org/10.1017/thg.2020.46