sim.exposure: Create Simulated Exposure Matrix for Real and Observed Data

In SequentialDesign: Observational Database Study Planning using Exact Sequential Analysis for Poisson and Binomial Data

Description

This function creates an exposure matrix with real and observed data after taking into account true positive, false negative, and false positive rates. The columns represent strata for the observational data #' and the rows represent new events in unit time. Do not run sim.exposure as a stand-alone function.

Usage

sim.exposure(exposed.matrix, params)

Arguments

exposed.matrix	Output exposure matrix from create.exposure function.
params	Output from initialize.data function.

Examples

paramtest <- initialize.data(seed=8768, N=1, t0=0, tf=2, NStrata=2, 
strataRatio=c(0.2, 0.3, 0.3, 0.2), EventRate=c(0.4, 0.5), sensitivity=0.9, PPVest=0.9, RR=3.0, 
MatchRatio=1, maxSampleSize=200, maxTest=1, totalAlpha=0.05, minEvents=5, AlphaSpendType="Wald",
AlphaParameter=0.5, address=getwd(), rate=20, offset=30)
exposed1 <- create.exposure(paramtest)
sim.exposure(exposed1, paramtest)

SequentialDesign documentation built on May 2, 2019, 3:45 a.m.