Description Usage Arguments Examples
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.
1 | sim.exposure(exposed.matrix, params)
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exposed.matrix |
Output exposure matrix from create.exposure function. |
params |
Output from initialize.data function. |
1 2 3 4 5 6 | 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)
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