ESTEP.rd: Calculate E-P-values based on LR statistic.

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

Calculate E-P-values based on LR statistic.

Description

Calculates all possible values of the E-P-value for testing p1-p0 greater than a provided null value psi.

Usage

ESTEP.rd(n0, n1, psi = 0, J = NULL, sided = 1, dec.places = 10, prin = FALSE)

Arguments

n0	control sample size
n1	treatment sample size
psi	null value of risk difference p1-p0
J	index of single data set if desired
sided	(1 or 2 sided test)
dec.places	number of decimal places of output t-values and p-values.
prin	outputs expected time and progress of calculation

Details

This function can take a long time for larger sample sizes. The computation time is of order (n0*n1)^2.

Value

A list with elements

y0,y1	data sets (scalar or vector)
oldP	approximate p-value(s) before E-step
T, P	quasi-exact P-value(s) and equivalent T-value(s)
pmle	profile ML estimates of baseline probability
index	consistent code to select a single outcome
psi	scalar 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")}

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