Subsets the data to all subjects randomized by the specified date,
and prepares the data for analysis. This is a wrapper for cut_data_by_date()
typically used with a date determined by cut_date_for_completers().
Arguments
- data
Data generated by
nb_sim().- cut_date
Calendar time (relative to trial start) at which to cut the data.
- event_gap
Gap duration after each event during which no new events are counted. Can be a numeric value (default
5 / 365.25) or a function returning a numeric value. The time at risk is reduced by the sum of these gaps (truncated by the cut date).
Value
A data frame with one row per subject randomized prior to cut_date.
Contains the truncated follow-up time (tte) and total number of observed events (events).
Examples
enroll_rate <- data.frame(rate = 20 / (5 / 12), duration = 5 / 12)
fail_rate <- data.frame(treatment = c("Control", "Experimental"), rate = c(0.5, 0.3))
dropout_rate <- data.frame(
treatment = c("Control", "Experimental"),
rate = c(0.1, 0.05), duration = c(100, 100)
)
sim <- nb_sim(enroll_rate, fail_rate, dropout_rate, max_followup = 2, n = 20)
# Find date when 5 subjects have completed
date_5 <- cut_date_for_completers(sim, 5)
# Get analysis dataset for this cut date (includes partial follow-up)
cut_completers(sim, date_5)
#> id treatment enroll_time tte events
#> 1 1 Experimental 0.04940508 2.000000 0
#> 2 2 Experimental 0.06333562 1.262942 0
#> 3 3 Control 0.06753399 2.000000 0
#> 4 4 Control 0.10178320 1.972621 2
#> 5 5 Control 0.20960215 1.925256 0
#> 6 6 Experimental 0.22735665 2.000000 0
#> 7 7 Control 0.23706007 1.986311 1
#> 8 8 Experimental 0.24841513 1.961266 2
#> 9 9 Experimental 0.24890959 1.988150 0
#> 10 10 Experimental 0.26921564 1.954155 1
#> 11 11 Control 0.29635022 1.927021 1
#> 12 12 Control 0.33700966 1.858983 3
#> 13 13 Control 0.36424507 1.804369 5
#> 14 14 Control 0.40795392 1.829106 0
#> 15 15 Experimental 0.43395293 1.776345 2
#> 16 16 Experimental 0.43813914 1.771542 2
#> 17 17 Control 0.47884640 1.758214 0
#> 18 18 Control 0.47958931 1.743782 1
#> 19 19 Experimental 0.48774864 1.735622 1
#> 20 20 Experimental 0.49560514 1.741455 0