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P-Value for Exact Unconditional Test of Risk Ratio

Source: R/RcppExports.R
riskRatioExactPValue.Rd

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

Usage

riskRatioExactPValue(
  n1 = NA_integer_,
  y1 = NA_integer_,
  n2 = NA_integer_,
  y2 = NA_integer_,
  riskRatioH0 = 1,
  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.

riskRatioH0

The risk ratio under the null hypothesis. Defaults to 1.

directionUpper

Whether larger values represent better responses.

Value

A data frame containing the following variables:

  • riskRatioH0: The risk ratio under the null hypothesis.

  • directionUpper: Whether larger values represent better responses.

  • riskRatio: The observed risk ratio.

  • 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


riskRatioExactPValue(riskRatioH0 = 1, directionUpper = 1,
                     n1 = 68, y1 = 2, n2 = 65, y2 = 1)
#>   riskRatioH0 directionUpper riskRatio     zstat    pvalue    pi2star
#> 1           1           TRUE  1.911765 0.5445955 0.3543871 0.02046496