lrstat (version 0.2.13)

getDesignTwoMultinom: Power and Sample Size for Difference in Two-Sample Multinomial Responses

Description

Obtains the power given sample size or obtains the sample size given power for difference in two-sample multinomial responses.

Usage

getDesignTwoMultinom(
  beta = NA_real_,
  n = NA_real_,
  ncats = NA_integer_,
  pi1 = NA_real_,
  pi2 = NA_real_,
  allocationRatioPlanned = 1,
  rounding = TRUE,
  alpha = 0.05
)

Value

An S3 class designTwoMultinom object with the following components:

• power: The power to reject the null hypothesis.

• alpha: The two-sided significance level.

• n: The maximum number of subjects.

• ncats: The number of categories of the multinomial response.

• pi1: The prevalence of each category for the treatment group.

• pi2: The prevalence of each category for the control group.

• effectsize: The effect size for the chi-square test.

• allocationRatioPlanned: Allocation ratio for the active treatment versus control.

• rounding: Whether to round up sample size.

Arguments

beta

The type II error.

n

The total sample size.

ncats

The number of categories of the multinomial response.

pi1

The prevalence of each category for the treatment group. Only need to specify the valued for the first ncats-1 categories.

pi2

The prevalence of each category for the control group. Only need to specify the valued for the first ncats-1 categories.

allocationRatioPlanned

Allocation ratio for the active treatment versus control. Defaults to 1 for equal randomization.

rounding

Whether to round up sample size. Defaults to 1 for sample size rounding.

alpha

The two-sided significance level. Defaults to 0.05.

Author

Kaifeng Lu,

Examples

(design1 <- getDesignTwoMultinom(
  beta = 0.1, ncats = 3, pi1 = c(0.3, 0.35),
  pi2 = c(0.2, 0.3), alpha = 0.05))