Event tracking in an oncology trial.
trackEventsPerTrial(data, timeP, byArm = FALSE)
(data.frame
)
illness-death data set in 1rowPatient
format.
(numeric
)
vector of study time-points.
(logical
)
if TRUE
time-point per treatment arm, else joint evaluation of treatment arms.
This function returns a data frame including number of PFS events, number of OS events,
number of recruited patients, number of censored patients and number of ongoing patients at timeP
.
transition1 <- weibull_transition(h01 = 1.2, h02 = 1.5, h12 = 1.6, p01 = 0.8, p02 = 0.9, p12 = 1)
transition2 <- weibull_transition(h01 = 1, h02 = 1.3, h12 = 1.7, p01 = 1.1, p02 = 0.9, p12 = 1.1)
simStudy <- getOneClinicalTrial(
nPat = c(20, 20), transitionByArm = list(transition1, transition2),
dropout = list(rate = 0.3, time = 10),
accrual = list(param = "time", value = 0)
)
simStudyWide <- getDatasetWideFormat(simStudy)
trackEventsPerTrial(data = simStudyWide, timeP = 1.5, byArm = FALSE)
#> $all
#> Timepoint: 1.5
#> PFS 39
#> OS 35
#> Recruited 40
#> Censored 0
#> Ongoing 5
#>