P-Value for Exact Unconditional Test of Risk Difference

Obtains the p-value for exact unconditional test of risk difference.

Usage

riskDiffExactPValue(
  n1 = NA_integer_,
  y1 = NA_integer_,
  n2 = NA_integer_,
  y2 = NA_integer_,
  riskDiffH0 = 0,
  directionUpper = TRUE
)

Arguments

n1

The sample size for the active treatment group.

y1

The number of responses for the active treatment group.

n2

The sample size for the control group.

y2

The number of responses for the control group.

riskDiffH0

The risk difference under the null hypothesis. Defaults to 0.

directionUpper

Whether larger values represent better responses.

Value

A data frame containing the following variables:

• riskDiffH0: The risk difference under the null hypothesis.

• directionUpper: Whether larger values represent better responses.

• riskDiff: The observed risk difference.

• zstat: The observed value of the Z test statistic.

• pvalue: The one-sided p-value for the unconditional exact test.

• pi2star: The value of pi2 that yields the p-value.

Author

Kaifeng Lu, kaifenglu@gmail.com

Examples

riskDiffExactPValue(riskDiffH0 = 0, directionUpper = 1,
                    n1 = 68, y1 = 2, n2 = 65, y2 = 1)
#>   riskDiffH0 directionUpper   riskDiff     zstat    pvalue    pi2star
#> 1          0           TRUE 0.01402715 0.5445955 0.3543871 0.02046496