q.samp.size.p: Sample size for comparing proportions

In qwickmalik/qwickr: A Quick and Easy Way to Analyze and Report Phase I-IV Clinical Trial Data including Pharmacokinetics

Sample size for comparing proportions

Description

Calculate sample size for comparing proportions based on pwr::pwr.2p.test

Usage

q.samp.size.p(p1=NULL, p2=NULL, dropout=0.2, arms=2, 
               sig.level = 0.05 , power = 0.8, alternative = "two.sided")

Arguments

p1	Proportion for the product/intervention of interest
p2	Proportion for comparator/placebo
dropout	Dropout rate to be accounted for in sample size calculation. Default is 0.2
arms	Number of armes in the planned study
sig.level	Significance level. Default is 0.05
power	Power. Default is 0.8
alternative	A charater string specifying the alternative hypothesis. Options: "two.sided" (default), "greater" or "less" (see pwr.2p.test)

Value

A list containing the ratio of proportions, number of completers per arm, total sample size per arm, total sample size for the study and number of study arms

Author(s)

Abdul Malik Sulley <[e-mail]> May 8, 2020

See Also

pwr.2p.test

Examples

p1 <- 0.8
p2 <- 0.5
q.samp.size.p(p1, p2, dropout=0.2, arms=2, 
              sig.level = 0.05 , power = 0.8, alternative = "two.sided" )

qwickmalik/qwickr documentation built on March 30, 2022, 2:59 p.m.