Table 32 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 32: Summary of Analyses
| Analysis | Statement | Options |
|---|---|---|
| Cox proportional hazards regression: score test | COXREG | |
| Various tests that involve the chi-square, F, t, or normal distribution, or the distribution of the correlation coefficient under multivariate normality | CUSTOM | DIST=CHISQUARE, DIST=CORR, DIST=F, DIST=NORMAL, DIST=T |
| 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 |