
The PAIREDMEANS statement performs power and sample size analyses for t tests, equivalence tests, and confidence interval precision involving paired samples.
Table 77.14 summarizes the options available in the PAIREDMEANS statement.
Table 77.16: PAIREDMEANS Statement Options
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Option |
Description |
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Define analysis |
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Specifies an analysis of precision of the confidence interval for the mean difference |
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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 lower equivalence bound |
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Specifies the null mean difference |
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Specifies the null mean ratio |
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Specifies the number of sides and the direction of the statistical test or confidence interval |
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Specifies the upper equivalence bound |
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Specify effects |
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Specifies the desired confidence interval half-width |
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Specifies the mean difference |
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Specifies the geometric mean ratio, |
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Specifies the two paired means |
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Specify variability |
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Specifies the correlation between members of a pair |
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Specifies the common coefficient of variation |
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Specifies the coefficient of variation for each member of a pair |
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Specifies the standard deviation of each member of a pair |
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Specifies the common standard deviation |
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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 number of pairs |
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Specify power and related probabilities |
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Specifies the desired power of the test |
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Specifies the type of probability for the PROBWIDTH= option |
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Specifies the probability of obtaining a confidence interval half-width less than or equal to the value specified by the HALFWIDTH= |
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Control ordering in output |
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Controls the output order of parameters |
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Table 77.17 summarizes the valid result parameters for different analyses in the PAIREDMEANS statement.
To define the analysis, choose one of the following parameterizations:
To specify the means, choose one of the following parameterizations:
individual means (by using the PAIREDMEANS= option)
mean difference (by using the MEANDIFF= option)
mean ratio (by using the MEANRATIO= option)
To specify the coefficient of variation, choose one of the following parameterizations:
common coefficient of variation (by using the CV= option)
individual coefficients of variation (by using the PAIREDCVS= option)
To specify the standard deviation, choose one of the following parameterizations:
common standard deviation (by using the STDDEV= option)
individual standard deviations (by using the PAIREDSTDDEVS= option)
This section summarizes the syntax for the common analyses supported in the PAIREDMEANS statement.
You can express effects in terms of the mean difference and variability in terms of a correlation and common standard deviation, as in the following statements. Default values for the DIST= , SIDES= , NULLDIFF= , and ALPHA= options specify a two-sided test for no difference with a normal distribution and a significance level of 0.05.
proc power;
pairedmeans test=diff
meandiff = 7
corr = 0.4
stddev = 12
npairs = 50
power = .;
run;
You can also express effects in terms of individual means and variability in terms of correlation and individual standard deviations:
proc power;
pairedmeans test=diff
pairedmeans = 8 | 15
corr = 0.4
pairedstddevs = (7 12)
npairs = .
power = 0.9;
run;
You can express variability in terms of correlation and a common coefficient of variation, as in the following statements. Defaults for the DIST= , SIDES= , NULLRATIO= and ALPHA= options specify a two-sided test of mean ratio = 1 assuming a lognormal distribution and a significance level of 0.05.
proc power;
pairedmeans test=ratio
meanratio = 7
corr = 0.3
cv = 1.2
npairs = 30
power = .;
run;
You can also express variability in terms of correlation and individual coefficients of variation:
proc power;
pairedmeans test=ratio
meanratio = 7
corr = 0.3
pairedcvs = 0.8 | 0.9
npairs = 30
power = .;
run;
The following statements demonstrate a sample size computation for a TOST equivalence test for a normal mean difference. Default values for the DIST= and ALPHA= options specify a normal distribution and a significance level of 0.05.
proc power;
pairedmeans test=equiv_diff
lower = 2
upper = 5
meandiff = 4
corr = 0.2
stddev = 8
npairs = .
power = 0.9;
run;
The following statements demonstrate a power computation for a TOST equivalence test for a lognormal mean ratio. Default values for the DIST= and ALPHA= options specify a lognormal distribution and a significance level of 0.05.
proc power;
pairedmeans test=equiv_ratio
lower = 3
upper = 7
meanratio = 5
corr = 0.2
cv = 1.1
npairs = 50
power = .;
run;
By default CI= DIFF analyzes the conditional probability of obtaining the desired precision, given that the interval contains the true mean difference, as in the following statements. The defaults of SIDES= 2 and ALPHA= 0.05 specify a two-sided interval with a confidence level of 0.95.
proc power;
pairedmeans ci = diff
halfwidth = 4
corr = 0.35
stddev = 8
npairs = 30
probwidth = .;
run;