Documentation Example 9 for PROC POWER
/****************************************************************/
/* S A S S A M P L E L I B R A R Y */
/* */
/* NAME: pwrex09 */
/* TITLE: Documentation Example 9 for PROC POWER */
/* (Binary Logistic Regression with Independent */
/* Predictors) */
/* PRODUCT: STAT */
/* SYSTEM: ALL */
/* KEYS: power */
/* sample size */
/* power analysis */
/* PROCS: POWER */
/* DATA: */
/* */
/* SUPPORT: John Castelloe */
/* REF: */
/* MISC: Graphs produced by ODS Graphics in PROC POWER */
/* require a style that distinguishes curves based */
/* on a combination of color, line style, and symbol */
/* marker. Styles that are well-suited for use in */
/* PROC POWER include: STATISTICAL, ANALYSIS, DEFAULT, */
/* LISTING, and HTMLBLUECML. */
/****************************************************************/
proc power;
logistic
vardist("Heat") = ordinal((5 10 15 20) : (0.2 0.3 0.3 0.2))
vardist("Soak") = ordinal((2 4 6) : (0.4 0.4 0.2))
vardist("Mass1") = normal(4, 1)
vardist("Mass2") = normal(4, 2)
testpredictor = "Heat"
covariates = "Soak" | "Mass1" "Mass2"
responseprob = 0.15 0.25
testoddsratio = 1.2
units= ("Heat" = 5)
covoddsratios = 1.4 | 1 1.3
alpha = 0.1
power = 0.9
ntotal = .;
run;