The POWER Procedure

Summary of Analyses

Table 89.29 gives a summary of the analyses supported in the POWER procedure. The name of the analysis statement reflects the type of data and design. The TEST=, CI=, and DIST= options specify the focus of the statistical hypothesis (in other words, the criterion on which the research question is based) and the test statistic to be used in data analysis.

Table 89.29: Summary of Analyses

Analysis

Statement

Options

Cox proportional hazards regression: score test

COXREG

 

Logistic regression: likelihood ratio chi-square test

LOGISTIC

 

Multiple linear regression: Type III F test

MULTREG

 

Correlation: Fisher’s z test

ONECORR

DIST= FISHERZ

Correlation: t test

ONECORR

DIST= T

Binomial proportion: exact test

ONESAMPLEFREQ

TEST= EXACT

Binomial proportion: z test

ONESAMPLEFREQ

TEST= Z

Binomial proportion: z test with continuity adjustment

ONESAMPLEFREQ

TEST= ADJZ

Binomial proportion: exact equivalence test

ONESAMPLEFREQ

TEST= EQUIV_EXACT

Binomial proportion: z equivalence test

ONESAMPLEFREQ

TEST= EQUIV_Z

Binomial proportion: z test with continuity adjustment

ONESAMPLEFREQ

TEST= EQUIV_ADJZ

Binomial proportion: confidence interval

ONESAMPLEFREQ

CI= AGRESTICOULL

   

CI= JEFFREYS

   

CI= EXACT

   

CI= WALD

   

CI= WALD_CORRECT

   

CI= WILSON

One-sample t test

ONESAMPLEMEANS

TEST= T

One-sample t test with lognormal data

ONESAMPLEMEANS

TEST= T DIST= LOGNORMAL

One-sample equivalence test for mean of normal data

ONESAMPLEMEANS

TEST= EQUIV

One-sample equivalence test for mean of lognormal data

ONESAMPLEMEANS

TEST= EQUIV DIST= LOGNORMAL

Confidence interval for a mean

ONESAMPLEMEANS

CI= T

One-way ANOVA: one-degree-of-freedom contrast

ONEWAYANOVA

TEST= CONTRAST

One-way ANOVA: overall F test

ONEWAYANOVA

TEST= OVERALL

McNemar exact conditional test

PAIREDFREQ

 

McNemar normal approximation test

PAIREDFREQ

DIST= NORMAL

Paired t test

PAIREDMEANS

TEST= DIFF

Paired t test of mean ratio with lognormal data

PAIREDMEANS

TEST= RATIO

Paired additive equivalence of mean difference with normal data

PAIREDMEANS

TEST= EQUIV_DIFF

Paired multiplicative equivalence of mean ratio with lognormal data

PAIREDMEANS

TEST= EQUIV_RATIO

Confidence interval for mean of paired differences

PAIREDMEANS

CI= DIFF

Farrington-Manning score test for proportion difference

TWOSAMPLEFREQ

TEST= FM

Farrington-Manning score test for relative risk

TWOSAMPLEFREQ

TEST= FM_RR

Pearson chi-square test for two independent proportions

TWOSAMPLEFREQ

TEST= PCHI

Fisher’s exact test for two independent proportions

TWOSAMPLEFREQ

TEST= FISHER

Likelihood ratio chi-square test for two independent proportions

TWOSAMPLEFREQ

TEST= LRCHI

Two-sample t test assuming equal variances

TWOSAMPLEMEANS

TEST= DIFF

Two-sample Satterthwaite t test assuming unequal variances

TWOSAMPLEMEANS

TEST= DIFF_SATT

Two-sample pooled t test of mean ratio with lognormal data

TWOSAMPLEMEANS

TEST= RATIO

Two-sample additive equivalence of mean difference with normal data

TWOSAMPLEMEANS

TEST= EQUIV_DIFF

Two-sample multiplicative equivalence of mean ratio with lognormal data

TWOSAMPLEMEANS

TEST= EQUIV_RATIO

Two-sample confidence interval for mean difference

TWOSAMPLEMEANS

CI= DIFF

Log-rank test for comparing two survival curves

TWOSAMPLESURVIVAL

TEST= LOGRANK

Gehan rank test for comparing two survival curves

TWOSAMPLESURVIVAL

TEST= GEHAN

Tarone-Ware rank test for comparing two survival curves

TWOSAMPLESURVIVAL

TEST= TARONEWARE

Wilcoxon-Mann-Whitney (rank-sum) test

TWOSAMPLEWILCOXON