Obtains the power given sample size for exact unconditional test of equivalence in risk difference.
powerRiskDiffExactEquiv(
n = NA_integer_,
riskDiffLower = NA_real_,
riskDiffUpper = NA_real_,
pi1 = NA_real_,
pi2 = NA_real_,
allocationRatioPlanned = 1,
alpha = 0.05,
calculateAttainedAlpha = 1L
)A data frame with the following variables:
alpha: The specified significance level for each of the two
one-sided tests.
attainedAlphaH10: The attained significance level under H10
if requested.
attainedAlphaH20: The attained significance level under H20
if requested.
power: The power.
n: The sample size.
riskDiffLower: The lower equivalence limit of risk difference.
riskDiffUpper: The upper equivalence limit of risk difference.
pi1: The assumed probability for the active treatment group.
pi2: The assumed probability for the control group.
riskDiff: The risk difference.
allocationRatioPlanned: Allocation ratio for the active
treatment versus control.
zstatRiskDiffLower: The efficacy boundaries on the
z-test statistic scale for the one-sided null hypothesis on the
lower equivalence limit.
zstatRiskDiffUpper: The efficacy boundaries on the
z-test statistic scale for the one-sided null hypothesis on the
upper equivalence limit.
The total sample size.
The lower equivalence limit of risk difference.
The upper equivalence limit of risk difference.
The assumed probability for the active treatment group.
The assumed probability for the control group.
Allocation ratio for the active treatment versus control. Defaults to 1 for equal randomization.
The significance level for each of the two one-sided tests. Defaults to 0.05.
Whether to calculate the attained alpha.
Kaifeng Lu, kaifenglu@gmail.com
powerRiskDiffExactEquiv(
n = 200, riskDiffLower = -0.2, riskDiffUpper = 0.2,
pi1 = 0.775, pi2 = 0.775, alpha = 0.05)
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