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Table 1 LRpowerCorr10 macro variables

From: Three algorithms and SAS macros for estimating power and sample size for logistic models with one or more independent variables of interest in the presence of covariates

SAMPLESIZE

The sample size to be evaluated

NSIMS

The number of simulation runs

P

The correlation among the predictors

AVEP

The average number of “1” responses in the samples

OR1

The odds ratio associated with X1 (Binomial)

OR2

The odds ratio associated with X2 (Binomial)

OR3

The odds ratio associated with X3 ( Uni(-3,3) )

OR4

The odds ratio associated with X4 ( Uni(-3,3) )

OR5

The odds ratio associated with X5 ( Uni(-3,3) )

OR6

The odds ratio associated with X6 ( Uni(-3,3) )

OR7

The odds ratio associated with X7 ( N (0,1) )

OR8

The odds ratio associated with X8 ( N (0,1) )

OR9

The odds ratio associated with X9 ( N (0,1) )

OR10

The odds ratio associated with X10 ( N (0,1) )

FULLMODEL

The predictor terms in the full model among X1-X10

REDUCEDMODEL

The predictor terms in the reduced model among X1-X10

ALPHA

The significance level of the testing

DFTEST

The degrees freedom of the testing

PCX1

The probability of success for X1

PCX2

The probability of success for X2