ncp.search

power

Alpha

the degrees of freedom for the likelihood ratio test

This function is set to 0 and solved for x, the non-centrality parameter to determine the sample size in <code><a rd-options="" href="/link/ss.calc?package=genpwr&version=1.0.4" data-mini-rdoc="genpwr::ss.calc">ss.calc</a></code>

Power and sample size calculations for genetic association studies allowing
for misspecification of the model of genetic susceptibility.
"Hum Hered. 2019;84(6):256-271.<doi:10.1159/000508558>. Epub 2020 Jul 28."
Power and/or sample size can be calculated for logistic (case/control study design)
and linear (continuous phenotype) regression models, using additive, dominant,
recessive or degree of freedom coding of the genetic covariate while assuming
a true dominant, recessive or additive genetic effect. In addition, power and
sample size calculations can be performed for gene by environment interactions.
These methods are extensions of Gauderman (2002)
<doi:10.1093/aje/155.5.478> and Gauderman (2002) <doi:10.1002/sim.973>
and are described in:
Moore CM, Jacobson S, Fingerlin TE. Power and Sample Size Calculations
for Genetic Association Studies in the Presence of Genetic Model Misspecification.
American Society of Human Genetics.
October 2018, San Diego.

Camille Moore

genpwr

Power Calculations Under Genetic Model Misspecification

Sean Jacobson

ncp.search function

This function is set to 0 and solved for x, the non-centrality parameter to determine the sample size in <code><a rd-options='' href='ss.calc'>ss.calc</a></code>

ncp.search: Function to Determine Non-Centrality Parameter of the Chi-squared distribution

Description

Usage

Arguments

Value

Examples