
PAIREDFREQ <options> ;
The PAIREDFREQ statement performs power and sample size analyses for McNemar’s test for paired proportions.
Table 71.14 summarizes the options available in the PAIREDFREQ statement.
Table 71.14: PAIREDFREQ Statement Options
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Option |
Description |
|---|---|
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Define analysis |
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Specifies the underlying distribution assumed for the test statistic |
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Specifies the statistical analysis |
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Specify analysis information |
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Specifies the significance level |
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Specifies the null value of the ratio of discordant proportions |
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Specifies the number of sides and the direction of the statistical test or confidence interval |
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Specify effects |
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Specifies the correlation |
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Specifies the discordant proportion difference |
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Specifies the two discordant proportions, |
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Specifies the ratio |
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Specifies the odds ratio |
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Specifies the two paired proportions, |
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Specifies the proportion difference |
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Specifies either the reference first proportion |
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Specifies the relative risk |
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Specifies the discordant proportion sum, |
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Specify sample size |
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Enables fractional input and output for sample sizes |
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Specifies the total number of proportion pairs |
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Specify power |
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Specifies the desired power of the test |
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Choose computational method |
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Specifies the computational method |
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Control ordering in output |
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Controls the output order of parameters |
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Table 71.15 summarizes the valid result parameters in the PAIREDFREQ statement.
Table 71.15: Summary of Result Parameters in the PAIREDFREQ Statement
To specify the proportions, choose one of the following parameterizations:
discordant proportions (using the DISCPROPORTIONS= option)
difference and sum of discordant proportions (using the DISCPROPDIFF= and TOTALPROPDISC=options)
difference of discordant proportions and reference discordant proportion (using the DISCPROPDIFF= and REFPROPORTION= options)
ratio of discordant proportions and reference discordant proportion (using the DISCPROPRATIO= and REFPROPORTION= options)
ratio and sum of discordant proportions (using the DISCPROPRATIO= and TOTALPROPDISC=options)
paired proportions and correlation (using the PAIREDPROPORTIONS= and CORR= options)
proportion difference, reference proportion, and correlation (using the PROPORTIONDIFF=, REFPROPORTION=, and CORR= options)
odds ratio, reference proportion, and correlation (using the ODDSRATIO=, REFPROPORTION=, and CORR= options)
relative risk, reference proportion, and correlation (using the RELATIVERISK=, REFPROPORTION=, and CORR= options)
This section summarizes the syntax for the common analyses supported in the PAIREDFREQ statement.
You can express effects in terms of the individual discordant proportions, as in the following statements. Default values for the TEST=, SIDES=, ALPHA=, and NULLDISCPROPRATIO= options specify a two-sided McNemar test for no effect with a significance level of 0.05.
proc power;
pairedfreq dist=exact_cond
discproportions = 0.15 | 0.45
npairs = 80
power = .;
run;
You can also express effects in terms of the difference and sum of discordant proportions:
proc power;
pairedfreq dist=exact_cond
discpropdiff = 0.3
totalpropdisc = 0.6
npairs = 80
power = .;
run;
You can also express effects in terms of the difference of discordant proportions and the reference discordant proportion:
proc power;
pairedfreq dist=exact_cond
discpropdiff = 0.3
refproportion = 0.15
npairs = 80
power = .;
run;
You can also express effects in terms of the ratio of discordant proportions and the denominator of the ratio:
proc power;
pairedfreq dist=exact_cond
discpropratio = 3
refproportion = 0.15
npairs = 80
power = .;
run;
You can also express effects in terms of the ratio and sum of discordant proportions:
proc power;
pairedfreq dist=exact_cond
discpropratio = 3
totalpropdisc = 0.6
npairs = 80
power = .;
run;
You can also express effects in terms of the paired proportions and correlation:
proc power;
pairedfreq dist=exact_cond
pairedproportions = 0.6 | 0.8
corr = 0.4
npairs = 45
power = .;
run;
You can also express effects in terms of the proportion difference, reference proportion, and correlation:
proc power;
pairedfreq dist=exact_cond
proportiondiff = 0.2
refproportion = 0.6
corr = 0.4
npairs = 45
power = .;
run;
You can also express effects in terms of the odds ratio, reference proportion, and correlation:
proc power;
pairedfreq dist=exact_cond
oddsratio = 2.66667
refproportion = 0.6
corr = 0.4
npairs = 45
power = .;
run;
You can also express effects in terms of the relative risk, reference proportion, and correlation:
proc power;
pairedfreq dist=exact_cond
relativerisk = 1.33333
refproportion = 0.6
corr = 0.4
npairs = 45
power = .;
run;
The following statements demonstrate a sample size computation for the normal-approximate McNemar test. The default value for the METHOD= option specifies an exact sample size computation. Default values for the TEST=, SIDES=, ALPHA=, and NULLDISCPROPRATIO= options specify a two-sided McNemar test for no effect with a significance level of 0.05.
proc power;
pairedfreq dist=normal method=connor
discproportions = 0.15 | 0.45
npairs = .
power = .9;
run;