inference: Approximate and exact tests for single data set

In exact.n: Exact Samples Sizes and Inference for Clinical Trials with Binary Endpoint

Approximate and exact tests for single data set

Description

For a single provided data sets (y0, n0, y1, n1) calculate approximate and quasi-exact test statistics of the null value p1-p0=psi.

Usage

inference(y0, n0, y1, n1, psi = 0, sided = 1, dec.places = 4)

Arguments

y0	number of successes for control
n0	control sample size
y1	number of successes for treatment
n1	treatment sample size
psi	null value of risk difference p1-p0
sided	1-sided or 2-sided test
dec.places	decimal places of output T and P values

Value

List with elements

y	the data vector y0,y1
n	the sample size vector n0,n1
approx	approximate T-value and p-value
quasi.exact	quasi.exact T-value and p-value
pmle	profile maximum likelihood estimate of baseline probability
psi	null value of p1-p0

Author(s)

Chris J. Lloyd

References

C.J. Lloyd (2022) Exact samples sizes for clinical trials subject to size and power constraints. Preprint. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.13140/RG.2.2.11828.94085")}

Examples

y0=25
y1=41
n0=65
n1=82
# Non-inferiority test of p1-p0>-0.1. Evidence is strong.
inference(y0,n0,y1,n1,psi=-0.1)

exact.n documentation built on Nov. 9, 2023, 9:06 a.m.