samplsize.calc: Calculates the sample size required to achieve the desired...

In agaye/ESPRESSO.ExE: Power Analysis and Sample Size Calculation for a environment-environment interaction model

Description

Estimates by how much the simulated study size needs to be inflated or shrank in order to obtain the specified level of power. The ratio of z-statistic required for desired power to mean model z-statistic obtained indicates the relative changes in standard error required. This corresponds to the relative change on scale and square root of sample size.

Usage

samplsize.calc(numcases = NULL, numcontrols = NULL, num.subjects = NULL,
  pheno.model = NULL, pval = NULL, power = NULL, mean.model.z = NULL)

Arguments

numcases	number of cases when outcome is binary.
numcontrols	number of controls when outcome is binary.
num.subjects	number of subjects when outcome is quantitative.
pheno.model	outcome model, binary=0 and quantitafive=1.
pval	cut-off p-value defining statistical significance.
power	desired power
mean.model.z	ratio of mean beta estimate over mean se estimate

Value

A table containing: numcases.required number of cases required to achieve the desired power under binary outcome model numcontrols.required number of controls required to achieve the desired power under binary outcome model numsubjects.required number of subjects required to achieve the desired power under a quantitative outcome model

Author(s)

Gaye A.

agaye/ESPRESSO.ExE documentation built on May 10, 2019, 7:30 a.m.