n1.get.vector: Find minimal n1 achieving target power for all values of n0

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

Find minimal n1 achieving target power for all values of n0

Description

For values of n0 covered in the matrix data (typically from 20 to 500) the function calls n1.get and finds the minimal value of n1 achieving the target power.

Usage

n1.get.vector(data, beta, p0, delta, alpha, type = 1)

Arguments

data	power database for selected value of alpha and delta (See details)
beta	scalar target for power
p0	scalar value of baseline probability
delta	value of clinically relevant difference
alpha	value of nominal size of test
type	type of minimum solution (See details)

Details

This function is called by n1.get.solution and will likely never be run by the user.

The data matrix will be one of the 85 main databases.

If type=1, the smallest value N1 of n1 so that power > beta is returned. If type=2, the smallest value N1 of n1 so that power > beta for all n1>=N1 is returned.

Value

a list with element x (giving range of values of n0) and y (giving minimal solutions for n1 of power > beta). integer indicates

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.