proc power - sample size & power

/* one sample t-test */

* power = ? ;
proc power;
onesamplemeans
alpha=0.05
sides=2
nullm=20
mean=22
stddev=4
ntotal=44
power=.;
run;

* sample size = ? ;
proc power;
onesamplemeans
alpha=0.01
sides=u /* U: upper one-sided, L: lower one-sided
nullm=20
mean=22
stddev=4
ntotal=.
power=0.8;
run;

/* paired t-test */
proc power;
pairedmeans test=diff
alpha=.01
sides=2
meandiff=3
stddev=3.5
corr=.2
npaires=20 30 40
power=.;
run;

/* independent t-test */
proc power;
twosamplemeans
meandiff=3 to 4 by .5 /* the same as 3 3.5 4 */
stddev=8 to 9 by .5
groupweights=(1 1)
power=0.8
ntotal=.;
plot y=power min=0.5 max=0.99;
run;

* a different way;
proc power;
twosamplemeans
groupmeans=(13 14) (13 14.5) (13 15) /* same as 13|14 14.5 15 */
stddev=1.2 1.7
groupweights=1|1 2 3 /* same as (1 1) (1 2) (1 3) */
power=0.8
ntotal=.;
run;

* Power vs Effect Size
proc power;
twosamplemeans test=diff
meandiff=0 to 2.5 by 0.5
stddev=.5657 1.0 1.4318
power=.
npergroup=10;
plot x=effect interpol=join;
run;

/* Multiple Regression */
proc power;
multreg
model=random
nfullpredictors=7
ntestpredictors=1
partialcorr=0.35
ntotal=100
power=.;
plot x=n min=50 max=150;
run;

/* One-way ANOVA */
proc power;
onewayanova test=overall
alpha=.05
groupmeans=(5 7 3 11)
stddev=4 5 6
npergroup=10 15
power=.;
run;

/* Normal Approximation to test a proportion */
proc power;
onesamplefreq test=z method=normal /* test=adjz with continuity corrrection */
sides=1 /* one-sided */
alpha=.05
nullproportion=0.3
proportion=.2
ntotal=.
power=.8;
run;

/* Fisher's exact test */
proc power;
twosamplefreq test=fisher
proportiondiff=0.10 to 0.15 by 0.01
refproportion=.2
npergroup=150
power=.;
run;

/* LR Chi-square Test for Two Proportions */
/* test=pchi for Pearson Chi-square Test for Two Proportions */
proc power;
twosamplefreq test=lrchi
proportiondiff=0.10 to 0.15 by 0.01
refproportion=.2
npergroup=150
power=.;
run;

/* Correlation */
proc power;
onecorr dist=fisherz
npvars=6
corr=.35
nullcorr=.2
sides=1
ntotal=100
power=.;
run;

/* comparing 2 survival curves */
proc power;
twosamplesurvival test=logrank
gexphs=0.3567 | 0.5978 .6931
grouplossexphazards=(0.3567 0.3567)
accrualtime=1
followuptime=1
groupweights=(1 2)
power=.
ntotal=225;
run;

/* TOST */
proc power;
twosamplemeans test=equiv_ratio
lower=.8
upper=1.25
meanratio=1 1.2
cv=.1 .2 .3
npergroup=.
power= .8 .9;
run;