ttpower: Power calculation in trend-in-trend design

In TrendInTrend: Odds Ratio Estimation and Power Calculation for the Trend in Trend Model

Description

Monte Carlo power calculation for trend-in-trend design.

Usage

ttpower(N, time, G, cstat, alpha_t, beta_0, h1.OR, nrep)

Arguments

N	Sample Size.
time	Number of time points.
G	Number of CPE strata.
cstat	Value of the c-statistic.
alpha_t	A scaler that qunatifies the trend in exposure prevalence.
beta_0	Intercept of the outcome model.
h1.OR	A given odds ratio.
nrep	Number of Monte Carlo replicates.

Value

power

Power of detecting the given Odds Ratio.

References

Ertefaie A, Small DS, Ji X, Leonard C, Hennessy S (2018). Statistical Power for Trend-in-trend Design. Epidemiology. 29(3), e21–e23.

Examples

set.seed(123)
ttpower(N=10000,time=10,G=10,cstat=0.75,alpha_t= 0.4,beta_0=-4.3,h1.OR=1.5,nrep=50)

TrendInTrend documentation built on March 13, 2020, 2:54 a.m.