PROC POWER: Summary of Analyses :: SAS/STAT(R) 9.22 User's Guide

The POWER Procedure

Summary of Analyses

Table 68.27 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 68.27 Summary of Analyses
Analysis	Statement	Options
Logistic regression: likelihood ratio chi-square test	LOGISTIC
Multiple linear regression: Type III $\text{[math]}$ test	MULTREG
Correlation: Fisher’s $\text{[math]}$ test	ONECORR	DIST=FISHERZ
Correlation: $\text{[math]}$ test	ONECORR	DIST=T
Binomial proportion: exact test	ONESAMPLEFREQ	TEST=EXACT
Binomial proportion: $\text{[math]}$ test	ONESAMPLEFREQ	TEST=Z
Binomial proportion: $\text{[math]}$ test with continuity adjustment	ONESAMPLEFREQ	TEST=ADJZ
Binomial proportion: exact equivalence test	ONESAMPLEFREQ	TEST=EQUIV_EXACT
Binomial proportion: $\text{[math]}$ equivalence test	ONESAMPLEFREQ	TEST=EQUIV_Z
Binomial proportion: $\text{[math]}$ 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 $\text{[math]}$ test	ONESAMPLEMEANS	TEST=T
One-sample $\text{[math]}$ 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 $\text{[math]}$ test	ONEWAYANOVA	TEST=OVERALL
McNemar exact conditional test	PAIREDFREQ
McNemar normal approximation test	PAIREDFREQ	DIST=NORMAL
Paired $\text{[math]}$ test	PAIREDMEANS	TEST=DIFF
Paired $\text{[math]}$ 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
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 $\text{[math]}$ test assuming equal variances	TWOSAMPLEMEANS	TEST=DIFF
Two-sample Satterthwaite $\text{[math]}$ test assuming unequal variances	TWOSAMPLEMEANS	TEST=DIFF_SATT
Two-sample pooled $\text{[math]}$ 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

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