powertools (version 1.0.0)

prop.paired: Power calculation for McNemar test of two correlated proportions

Description

Performs power and sample size calculation for McNemar test of two correlated proportions using normal approximation. Can solve for power, N or alpha.

Usage

prop.paired(
  N = NULL,
  p1 = NULL,
  p2 = NULL,
  phi = NULL,
  paid = NULL,
  dpr = NULL,
  alpha = 0.05,
  power = NULL,
  sides = 2,
  v = FALSE
)

Value

A list of the arguments (including the computed one).

Arguments

N

The sample size; the number of pairs.

p1

The outcome proportion under condition 1.

p2

The outcome proportion under condition 2.

phi

The correlation between the two responses from an individual.

paid

The smaller of the two discordant probabilities. Either p1, p2 and phi, OR paid and dpr must be specified.

dpr

The discordant proportion ratio. Must be greater than or equal to 1. Either p1, p2, and phi, OR paid and dpr must be specified.

alpha

The significance level (type 1 error rate); defaults to 0.05.

power

The specified level of power.

sides

Either 1 or 2 (default) to specify a one- or two- sided hypothesis test.

v

Either TRUE for verbose output or FALSE (default) to output computed argument only.

Details

Either p1, p2 and phi, OR paid and dpr must be specified.

Examples

prop.paired(N = NULL, p1 = 0.8, p2 = 0.9, phi = 0, power = 0.9, sides = 2)
prop.paired(N = NULL, paid = 0.08, dpr = 0.18 / 0.08, power = 0.9, sides = 2)