Sample size calculations for main effects and interactions in case-control studies using Stata's nchi2 and npnchi2 functions

被引：6

作者：

Saunders, Catherine L. ^{[1
]}

Bishop, D. Timothy ^{[1
]}

Barrett, Jennifer H. ^{[1
]}

机构：

[1] Canc Res UK Clin Ctr, Genet Epidemiol Div, Leeds, W Yorkshire, England

来源：

STATA JOURNAL | 2003年 / 3卷 / 01期

关键词：

st0032; gene-environment interaction; gene-gene interaction; power; sample size; study design; non-central chi(2);

D O I：

10.1177/1536867X0300300103

中图分类号：

O1 [数学]; C [社会科学总论];

学科分类号：

03 ; 0303 ; 0701 ; 070101 ;

摘要：

The non-central chi(2) distribution can be used to calculate power for tests detecting departure from a null hypothesis. Required sample size can also be calculated because it is proportional to the non-centrality parameter for the distribution. We demonstrate how these calculations can be carried out in Stata using the example of calculating power and sample size for case-control studies of gene-gene and gene-environment interactions. Do-files are available for these calculations.

引用

页码：47 / 56

页数：10

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