# The POWER Procedure

### TWOSAMPLEMEANS Statement

Subsections:

• TWOSAMPLEMEANS <options>;

The TWOSAMPLEMEANS statement performs power and sample size analyses for pooled and unpooled t tests, equivalence tests, and confidence interval precision involving two independent samples.

#### Summary of Options

Table 77.21 summarizes the options available in the TWOSAMPLEMEANS statement.

Table 77.21: TWOSAMPLEMEANS Statement Options

Option

Description

Define analysis

Specifies an analysis of precision of the confidence interval

Specifies the underlying distribution assumed for the test statistic

Specifies the statistical analysis

Specify analysis information

Specifies the significance level

Specifies the lower equivalence bound

Specifies the null mean difference

Specifies the null mean ratio

Specifies the number of sides and the direction of the statistical test or confidence interval

Specifies the upper equivalence bound

Specify effects

Specifies the desired confidence interval half-width

Specifies the two group means

Specifies the mean difference

Specifies the geometric mean ratio,

Specify variability

Specifies the common coefficient of variation

Specifies the standard deviation of each group

Specifies the common standard deviation

Specify sample size and allocation

Specifies the two group sample sizes

Specifies the sample size allocation weights for the two groups

Enables fractional input and output for sample sizes

Specifies the common sample size per group

Specifies the sample size

Specify power and related probabilities

Specifies the desired power of the test

Specifies the type of probability for the PROBWIDTH= option

Specifies the desired probability of obtaining a confidence interval half-width less than or equal to the value specified

Control ordering in output

Controls the output order of parameters

Table 77.22 summarizes the valid result parameters for different analyses in the TWOSAMPLEMEANS statement.

Table 77.22: Summary of Result Parameters in the TWOSAMPLEMEANS Statement

Analyses

Solve For

Syntax

TEST= DIFF

Power

Sample size

Group sample size

GROUPNS= n1 | .

GROUPNS= . | n2

GROUPNS= (n1 .)

GROUPNS= (. n2)

Group weight

GROUPWEIGHTS= w1 | .

GROUPWEIGHTS= . | w2

GROUPWEIGHTS= (w1 .)

GROUPWEIGHTS= (. w2)

Alpha

Group mean

GROUPMEANS= mean1 | .

GROUPMEANS= . | mean2

GROUPMEANS= (mean1 .)

GROUPMEANS= (. mean2)

Mean difference

Standard deviation

TEST= DIFF_SATT

Power

Sample size

TEST= RATIO

Power

Sample size

TEST= EQUIV_DIFF

Power

Sample size

TEST= EQUIV_RATIO

Power

Sample size

CI= DIFF

Prob(width)

Sample size

#### Dictionary of Options

ALPHA=number-list

specifies the level of significance of the statistical test or requests a solution for alpha with a missing value (ALPHA= .). The default is 0.05, corresponding to the usual 0.05 100% = 5% level of significance. If the CI= and SIDES= 1 options are used, then the value must be less than 0.5. For information about specifying the number-list, see the section Specifying Value Lists in Analysis Statements.

CI
CI=DIFF

specifies an analysis of precision of the confidence interval for the mean difference, assuming equal variances. Instead of power, the relevant probability for this analysis is the probability that the interval half-width is at most the value specified by the HALFWIDTH= option. If neither the TEST= option nor the CI= option is used, the default is TEST= DIFF.

CV=number-list

specifies the coefficient of variation assumed to be common to both groups. The coefficient of variation is defined as the ratio of the standard deviation to the mean on the original data scale. You can use this option only with DIST= LOGNORMAL. For information about specifying the number-list, see the section Specifying Value Lists in Analysis Statements.

DIST=LOGNORMAL | NORMAL

specifies the underlying distribution assumed for the test statistic. NORMAL corresponds the normal distribution, and LOGNORMAL corresponds to the lognormal distribution. The default value (also the only acceptable value in each case) is NORMAL for TEST= DIFF, TEST= DIFF_SATT, TEST= EQUIV_DIFF, and CI= DIFF; and LOGNORMAL for TEST= RATIO and TEST= EQUIV_RATIO.

GROUPMEANS=grouped-number-list
GMEANS=grouped-number-list

specifies the two group means or requests a solution for one group mean given the other. Means are in the original scale. They are arithmetic if DIST= NORMAL and geometric if DIST= LOGNORMAL. This option cannot be used with the CI= DIFF analysis. When TEST= EQUIV_DIFF, the means are interpreted as the reference mean (first) and the treatment mean (second). For information about specifying the grouped-number-list, see the section Specifying Value Lists in Analysis Statements.

GROUPNS=grouped-number-list
GNS=grouped-number-list

specifies the two group sample sizes or requests a solution for one group sample size given the other. For information about specifying the grouped-number-list, see the section Specifying Value Lists in Analysis Statements.

GROUPSTDDEVS=grouped-number-list
GSTDDEVS=grouped-number-list
GROUPSTDS=grouped-number-list
GSTDS=grouped-number-list

specifies the standard deviation of each group. Unlike the STDDEV= option, the GROUPSTDDEVS= = option supports different values for each group. It is valid only for the Satterthwaite t test (TEST= DIFF_SATT DIST= NORMAL). For information about specifying the grouped-number-list, see the section Specifying Value Lists in Analysis Statements.

GROUPWEIGHTS=grouped-number-list
GWEIGHTS=grouped-number-list

specifies the sample size allocation weights for the two groups, or requests a solution for one group weight given the other. This option controls how the total sample size is divided between the two groups. Each pair of values for the two groups represents relative allocation weights. Additionally, if the NFRACTIONAL option is not used, the total sample size is restricted to be equal to a multiple of the sum of the two group weights (so that the resulting design has an integer sample size for each group while adhering exactly to the group allocation weights). Values must be integers unless the NFRACTIONAL option is used. The default value is (1 1), a balanced design with a weight of 1 for each group. For information about specifying the grouped-number-list, see the section Specifying Value Lists in Analysis Statements.

HALFWIDTH=number-list

specifies the desired confidence interval half-width. The half-width is defined as the distance between the point estimate and a finite endpoint. This option can be used only with the CI= DIFF analysis. For information about specifying the number-list, see the section Specifying Value Lists in Analysis Statements.

LOWER=number-list

specifies the lower equivalence bound for the mean difference or mean ratio, in the original scale (whether DIST= NORMAL or DIST= LOGNORMAL). Values must be greater than 0 when DIST= LOGNORMAL. This option can be used only with the TEST= EQUIV_DIFF and TEST= EQUIV_RATIO analyses. For information about specifying the number-list, see the section Specifying Value Lists in Analysis Statements.

MEANDIFF=number-list

specifies the mean difference, defined as , or requests a solution for the mean difference with a missing value (MEANDIFF= .). This option can be used only with the TEST= DIFF, TEST= DIFF_SATT, and TEST= EQUIV_DIFF analyses. When TEST= EQUIV_DIFF, the mean difference is interpreted as the treatment mean minus the reference mean. For information about specifying the number-list, see the section Specifying Value Lists in Analysis Statements.

MEANRATIO=number-list

specifies the geometric mean ratio, defined as . This option can be used only with the TEST= RATIO and TEST= EQUIV_RATIO analyses. When TEST= EQUIV_RATIO, the mean ratio is interpreted as the treatment mean divided by the reference mean. For information about specifying the number-list, see the section Specifying Value Lists in Analysis Statements.

NFRACTIONAL
NFRAC

enables fractional input and output for sample sizes. See the section Sample Size Adjustment Options for information about the ramifications of the presence (and absence) of the NFRACTIONAL option.

NPERGROUP=number-list
NPERG=number-list

specifies the common sample size per group or requests a solution for the common sample size per group with a missing value (NPERGROUP= .). Use of this option implicitly specifies a balanced design. For information about specifying the number-list, see the section Specifying Value Lists in Analysis Statements.

NTOTAL=number-list

specifies the sample size or requests a solution for the sample size with a missing value (NTOTAL= .). For information about specifying the number-list, see the section Specifying Value Lists in Analysis Statements.

NULLDIFF=number-list
NULLD=number-list

specifies the null mean difference. The default value is 0. This option can be used only with the TEST= DIFF and TEST= DIFF_SATT analyses. For information about specifying the number-list, see the section Specifying Value Lists in Analysis Statements.

NULLRATIO=number-list
NULLR=number-list

specifies the null mean ratio. The default value is 1. This option can be used only with the TEST= RATIO analysis. For information about specifying the number-list, see the section Specifying Value Lists in Analysis Statements.

OUTPUTORDER=INTERNAL | REVERSE | SYNTAX

controls how the input and default analysis parameters are ordered in the output. OUTPUTORDER= INTERNAL (the default) arranges the parameters in the output according to the following order of their corresponding options:

The OUTPUTORDER= SYNTAX option arranges the parameters in the output in the same order in which their corresponding options are specified in the TWOSAMPLEMEANS statement. The OUTPUTORDER= REVERSE option arranges the parameters in the output in the reverse of the order in which their corresponding options are specified in the TWOSAMPLEMEANS statement.

POWER=number-list

specifies the desired power of the test or requests a solution for the power with a missing value (POWER= .). The power is expressed as a probability, a number between 0 and 1, rather than as a percentage. This option cannot be used with the CI= DIFF analysis. For information about specifying the number-list, see the section Specifying Value Lists in Analysis Statements.

PROBTYPE=keyword-list

specifies the type of probability for the PROBWIDTH= option. A value of CONDITIONAL (the default) indicates the conditional probability that the confidence interval half-width is at most the value specified by the HALFWIDTH= option, given that the true mean difference is captured by the confidence interval. A value of UNCONDITIONAL indicates the unconditional probability that the confidence interval half-width is at most the value specified by the HALFWIDTH= option. you can use the alias GIVENVALIDITY for CONDITIONAL. The PROBTYPE= option can be used only with the CI= DIFF analysis. For information about specifying the keyword-list, see the section Specifying Value Lists in Analysis Statements.

CONDITIONAL

width probability conditional on interval containing the mean

UNCONDITIONAL

unconditional width probability

PROBWIDTH=number-list

specifies the desired probability of obtaining a confidence interval half-width less than or equal to the value specified by the HALFWIDTH= option. A missing value (PROBWIDTH= .) requests a solution for this probability. The type of probability is controlled with the PROBTYPE= option. Values are expressed as probabilities (for example, 0.9) rather than percentages. This option can be used only with the CI= DIFF analysis. For information about specifying the number-list, see the section Specifying Value Lists in Analysis Statements.

SIDES=keyword-list

specifies the number of sides (or tails) and the direction of the statistical test or confidence interval. For information about specifying the keyword-list, see the section Specifying Value Lists in Analysis Statements. Valid keywords and their interpretation for the TEST= analyses are as follows:

1

one-sided with alternative hypothesis in same direction as effect

2

two-sided

U

upper one-sided with alternative greater than null value

L

lower one-sided with alternative less than null value

For confidence intervals, SIDES= U refers to an interval between the lower confidence limit and infinity, and SIDES= L refers to an interval between minus infinity and the upper confidence limit. For both of these cases and SIDES= 1, the confidence interval computations are equivalent. The SIDES= option cannot be used with the TEST= EQUIV_DIFF and TEST= EQUIV_RATIO analyses. The default value is 2.

STDDEV=number-list
STD=number-list

specifies the standard deviation assumed to be common to both groups, or requests a solution for the common standard deviation with a missing value (STDDEV= .). This option can be used only with DIST= NORMAL. For information about specifying the number-list, see the section Specifying Value Lists in Analysis Statements.

TEST=DIFF | DIFF_SATT | EQUIV_DIFF | EQUIV_RATIO | RATIO
TEST

specifies the statistical analysis. TEST or TEST= DIFF (the default) specifies a pooled t test on the mean difference, assuming equal variances. TEST= DIFF_SATT specifies a Satterthwaite unpooled t test on the mean difference, assuming unequal variances. TEST= EQUIV_DIFF specifies an additive equivalence test of the mean difference by using a two one-sided tests (TOST) analysis (Schuirmann, 1987). TEST= EQUIV_RATIO specifies a multiplicative equivalence test of the mean ratio by using a TOST analysis. TEST= RATIO specifies a pooled t test on the mean ratio, assuming equal coefficients of variation. If neither the TEST= option nor the CI= option is used, the default is TEST= DIFF.

UPPER=number-list

specifies the upper equivalence bound for the mean difference or mean ratio, in the original scale (whether DIST= NORMAL or DIST= LOGNORMAL). This option can be used only with the TEST= EQUIV_DIFF and TEST= EQUIV_RATIO analyses. For information about specifying the number-list, see the section Specifying Value Lists in Analysis Statements.

#### Restrictions on Option Combinations

To define the analysis, choose one of the following parameterizations:

• a statistical test (by using the TEST= option)

• confidence interval precision (by using the CI= option)

To specify the means, choose one of the following parameterizations:

• individual group means (by using the GROUPMEANS= option)

• mean difference (by using the MEANDIFF= option)

• mean ratio (by using the MEANRATIO= option)

To specify standard deviations in the Satterthwaite t test (TEST= DIFF_SATT), choose one of the following parameterizations:

• common standard deviation (by using the STDDEV= option)

• individual group standard deviations (by using the GROUPSTDDEVS= = option)

To specify the sample sizes and allocation, choose one of the following parameterizations:

• sample size per group in a balanced design (by using the NPERGROUP= option)

• total sample size and allocation weights (by using the NTOTAL= and GROUPWEIGHTS= options)

• individual group sample sizes (by using the GROUPNS= option)

#### Option Groups for Common Analyses

This section summarizes the syntax for the common analyses supported in the TWOSAMPLEMEANS statement.

##### Two-Sample t Test Assuming Equal Variances

You can use the NPERGROUP= option in a balanced design and express effects in terms of the mean difference, 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;
twosamplemeans test=diff
meandiff = 7
stddev = 12
npergroup = 50
power = .;
run;


You can also specify an unbalanced design by using the NTOTAL= and GROUPWEIGHTS= options and express effects in terms of individual group means:

proc power;
twosamplemeans test=diff
groupmeans = 8 | 15
stddev = 4
groupweights = (2 3)
ntotal = .
power = 0.9;
run;


Another way to specify the sample sizes is with the GROUPNS= option:

proc power;
twosamplemeans test=diff
groupmeans = 8 | 15
stddev = 4
groupns = (25 40)
power = .;
run;

##### Two-Sample Satterthwaite t Test Assuming Unequal Variances

The following statements demonstrate a power computation for the two-sample Satterthwaite t test allowing unequal variances. 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;
twosamplemeans test=diff_satt
meandiff = 3
groupstddevs = 5 | 8
groupweights = (1 2)
ntotal = 60
power = .;
run;

##### Two-Sample Pooled t Test of Mean Ratio with Lognormal Data

The following statements demonstrate a power computation for the pooled t test of a lognormal mean ratio. Default values 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;
twosamplemeans test=ratio
meanratio = 7
cv = 0.8
groupns = 50 | 70
power = .;
run;

##### Additive Equivalence Test for Mean Difference with Normal Data

The following statements demonstrate a sample size computation for the TOST equivalence test for a normal mean difference. A default value of GROUPWEIGHTS= (1 1) specifies a balanced design. Default values for the DIST= and ALPHA= options specify a significance level of 0.05 and an assumption of normally distributed data.

proc power;
twosamplemeans test=equiv_diff
lower = 2
upper = 5
meandiff = 4
stddev = 8
ntotal = .
power = 0.9;
run;

##### Multiplicative Equivalence Test for Mean Ratio with Lognormal Data

The following statements demonstrate a power computation for the TOST equivalence test for a lognormal mean ratio. Default values for the DIST= and ALPHA= options specify a significance level of 0.05 and an assumption of lognormally distributed data.

proc power;
twosamplemeans test=equiv_ratio
lower = 3
upper = 7
meanratio = 5
cv = 0.75
npergroup = 50
power = .;
run;

##### Confidence Interval for Mean Difference

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;
twosamplemeans ci = diff
halfwidth = 4
stddev = 8
groupns = (30 35)
probwidth = .;
run;