def <- defData(varname = "male", dist = "binary", formula = .5, id = "cid")
def <- defData(def, varname = "over65", dist = "binary", formula = "-1.7 + .8*male", link = "logit")
def <- defData(def, varname = "baseDBP", dist = "normal", formula = 70, variance = 40)
dtstudy <- genData(1000, def)
dtstudy
formula1 <- c("-2 + 2*male - .5*over65", "-1 + 2*male + .5*over65")
dtObs <- trtObserve(dtstudy, formulas = formula1, logit.link = TRUE, grpName = "exposure")
dtObs
# Check actual distributions
dtObs[, .(pctMale = round(mean(male), 2)), keyby = exposure]
dtObs[, .(pctMale = round(mean(over65), 2)), keyby = exposure]
dtSum <- dtObs[, .N, keyby = .(male, over65, exposure)]
dtSum[, grpPct := round(N / sum(N), 2), keyby = .(male, over65)]
dtSum
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