Power and sample size for multivariate logistic modeling of unmatched case-control studies
2017 ◽
Vol 28
(3)
◽
pp. 822-834
Keyword(s):
Sample size calculations are needed to design and assess the feasibility of case-control studies. Although such calculations are readily available for simple case-control designs and univariate analyses, there is limited theory and software for multivariate unconditional logistic analysis of case-control data. Here we outline the theory needed to detect scalar exposure effects or scalar interactions while controlling for other covariates in logistic regression. Both analytical and simulation methods are presented, together with links to the corresponding software.
1998 ◽
Vol 147
(4)
◽
pp. 414-414
Keyword(s):
Keyword(s):
1997 ◽
Vol 146
(7)
◽
pp. 596-604
◽
Keyword(s):
2003 ◽
Vol 3
(1)
◽
pp. 47-56
◽
Keyword(s):
1999 ◽
Vol 149
(8)
◽
pp. 689-692
◽
Keyword(s):
1981 ◽
Vol 30
(2)
◽
pp. 190
◽
Keyword(s):
Keyword(s):
2006 ◽
Vol 136
(1)
◽
pp. 108-124