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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