PAIREDMEANS
<options> ;
The PAIREDMEANS statement performs power and sample size analyses for t tests, equivalence tests, and confidence interval precision involving paired samples.
Table 71.14 summarizes the options available in the PAIREDMEANS statement.
Table 71.16: PAIREDMEANS Statement Options
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 |
Table 71.17 summarizes the valid result parameters for different analyses in the PAIREDMEANS statement.
Table 71.17: Summary of Result Parameters 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;