## code to prepare `DATASET` dataset goes here
library(tidyr)
set.seed(6671)
ds <- simPWSurv(n = 200,
enrollRates = tibble(rate = 200 / 12, duration = 12),
failRates = tribble(
~Stratum, ~Period, ~Treatment, ~duration, ~rate,
"All", 1, "Control", 42, log(2) / 15,
"All", 1, "Experimental", 6, log(2) / 15,
"All", 2, "Experimental", 36, log(2) / 15 * 0.6),
dropoutRates = tribble(
~Stratum, ~Period, ~Treatment, ~duration, ~rate,
"All", 1, "Control", 42, 0,
"All", 1, "Experimental", 42, 0)
)
# cut data at 24 months after final enrollment
MBdelayed <- ds %>% cutData(max(ds$enrollTime) + 24)
usethis::use_data("MBdelayed")
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