Summary of Analyses

Table 70.27 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 70.27 Summary of Analyses

Analysis

Statement

Options

Logistic regression: likelihood ratio chi-square test

Multiple linear regression: Type III test

Correlation: Fisher’s test

DIST=FISHERZ

Correlation: test

Binomial proportion: exact test

TEST=EXACT

Binomial proportion: test

Binomial proportion: test with continuity adjustment

Binomial proportion: exact equivalence test

TEST=EQUIV_EXACT

Binomial proportion: equivalence test

TEST=EQUIV_Z

Binomial proportion: test with continuity adjustment

Binomial proportion: confidence interval

CI=AGRESTICOULL

CI=JEFFREYS

CI=EXACT

CI=WALD

CI=WALD_CORRECT

CI=WILSON

One-sample test

One-sample test with lognormal data

TEST=T DIST=LOGNORMAL

One-sample equivalence test for mean of normal data

TEST=EQUIV

One-sample equivalence test for mean of lognormal data

TEST=EQUIV DIST=LOGNORMAL

Confidence interval for a mean

CI=T

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

TEST=CONTRAST

One-way ANOVA: overall test

TEST=OVERALL

McNemar exact conditional test

McNemar normal approximation test

DIST=NORMAL

Paired test

TEST=DIFF

Paired test of mean ratio with lognormal data

TEST=RATIO

Paired additive equivalence of mean difference with normal data

TEST=EQUIV_DIFF

Paired multiplicative equivalence of mean ratio with lognormal data

TEST=EQUIV_RATIO

Confidence interval for mean of paired differences

CI=DIFF

Pearson chi-square test for two independent proportions

TEST=PCHI

Fisher’s exact test for two independent proportions

TEST=FISHER

Likelihood ratio chi-square test for two independent proportions

TEST=LRCHI

Two-sample test assuming equal variances

TEST=DIFF

Two-sample Satterthwaite test assuming unequal variances

TEST=DIFF_SATT

Two-sample pooled test of mean ratio with lognormal data

TEST=RATIO

Two-sample additive equivalence of mean difference with normal data

TEST=EQUIV_DIFF

Two-sample multiplicative equivalence of mean ratio with lognormal data

TEST=EQUIV_RATIO

Two-sample confidence interval for mean difference

CI=DIFF

Log-rank test for comparing two survival curves

TEST=LOGRANK

Gehan rank test for comparing two survival curves

TEST=GEHAN

Tarone-Ware rank test for comparing two survival curves

TEST=TARONEWARE

Wilcoxon-Mann-Whitney (rank-sum) test