Paired test, confidence interval precision, or equivalence testĭisplays plots for previous sample size analysisĬhi-square, likelihood ratio, and Fisher’s exact tests for two independent proportions One-way ANOVA including single-degree-of-freedom contrasts One-sample test, confidence interval precision, or equivalence test Tests, confidence interval precision, and equivalence tests of a single binomial proportion Tests of one or more coefficients in multiple linear regressionįisher’s z test and test of (partial) correlation Likelihood ratio chi-square test of a single predictor in logistic regression with binary response Table 70.1 Statements in the POWER Procedure The syntax of each statement in Table 70.1 is described in the following pages. Table 70.1 summarizes the basic functions of each statement in PROC POWER.
You use options in the analysis statements to identify the result parameter to compute, to specify the statistical test and computational options, and to provide one or more scenarios for the values of relevant analysis parameters. The name of an analysis statement describes the framework of the statistical analysis for which sample size calculations are desired. Each PLOT statement refers to the previous analysis statement and generates a separate graph (or set of graphs). Each analysis statement produces a separate sample size analysis.
You can use multiple analysis statements and multiple PLOT statements. The analysis statements are LOGISTIC, MULTREG, ONECORR, ONESAMPLEFREQ, ONESAMPLEMEANS, ONEWAYANOVA, PAIREDFREQ, PAIREDMEANS, TWOSAMPLEFREQ, TWOSAMPLEMEANS, TWOSAMPLESURVIVAL, and TWOSAMPLEWILCOXON. The PROC POWER statement and at least one of the analysis statements are required. The statements in the POWER procedure consist of the PROC POWER statement, a set of analysis statements (for requesting specific power and sample size analyses), and the PLOT statement (for producing graphs). The following statements are available in PROC POWER: PROC POWER
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