samplesize.bin

0th

Percentile

Sample Size for 2-sample Binomial

Computes sample size(s) for 2-sample binomial problem given vector or scalar probabilities in the two groups.

Keywords
htest, category
Usage
samplesize.bin(alpha, beta, pit, pic, rho=0.5)
Arguments
alpha

scalar ONE-SIDED test size, or two-sided size/2

beta

scalar or vector of powers

pit

hypothesized treatment probability of success

pic

hypothesized control probability of success

rho

proportion of the sample devoted to treated group ($0 <\code{rho} < 1$)

Value

TOTAL sample size(s)

AUTHOR

Rick Chappell Dept. of Statistics and Human Oncology University of Wisconsin at Madison chappell@stat.wisc.edu

Aliases
• samplesize.bin
Examples
# NOT RUN {
alpha <- .05
beta <- c(.70,.80,.90,.95)

# N1 is a matrix of total sample sizes whose
# rows vary by hypothesized treatment success probability and
# columns vary by power
# See Meinert's book for formulae.

N1 <- samplesize.bin(alpha, beta, pit=.55, pic=.5)
N1 <- rbind(N1, samplesize.bin(alpha, beta, pit=.60, pic=.5))
N1 <- rbind(N1, samplesize.bin(alpha, beta, pit=.65, pic=.5))
N1 <- rbind(N1, samplesize.bin(alpha, beta, pit=.70, pic=.5))
attr(N1,"dimnames") <- NULL

#Accounting for 5% noncompliance in the treated group
inflation <- (1/.95)**2
print(round(N1*inflation+.5,0))
# }

Documentation reproduced from package Hmisc, version 4.1-1, License: GPL (>= 2)

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