## code to prepare `DATASET` dataset goes here
set.seed(100)
patient_n <- 250
index_date <- sample(
seq(as.Date("2015/01/01"),
as.Date("2020/10/31"),
by = "day"
),
size = patient_n,
replace = TRUE
)
# Patient condition
condition <- sample(c("placebo", "drug"), size = patient_n, replace = TRUE)
placebo_n <- sum(condition == "placebo")
drug_n <- sum(condition == "drug")
tte_placebo <- 1
tte_drug <- 2
# Date that event occurs (theoretically)
eventdate <- index_date
eventdate[condition == "placebo"] <- index_date[condition == "placebo"] + rexp(
n = placebo_n,
rate = 1 / tte_placebo
) * 365
eventdate[condition == "drug"] <- index_date[condition == "drug"] + rexp(
n = drug_n,
rate = 1 / tte_drug
) * 365
# Date that observation stops
data_cutoff_date <- as.Date("2021/01/01")
# Observed event dates
event_date_obs <- eventdate
event_date_obs[event_date_obs > data_cutoff_date] <- NA
event_n <- sum(!is.na(event_date_obs))
censor_n <- sum(is.na(event_date_obs))
lastcontactdate <- eventdate
lastcontactdate[eventdate > data_cutoff_date] <- data_cutoff_date + rnorm(sum(eventdate > data_cutoff_date),
mean = -30,
sd = 5
)
lastcontactdate[eventdate <= data_cutoff_date] <- eventdate[eventdate <= data_cutoff_date] + rnorm(sum(eventdate <= data_cutoff_date),
mean = -30,
sd = 5
)
cohort_raw <- tibble::tibble(
patientid = sprintf("F%05d", 1:patient_n),
sex = sample(c("m", "f"), size = patient_n, replace = TRUE),
age = round(rnorm(patient_n, mean = 45, sd = 10), 1),
condition = condition,
lotstartdate = index_date,
lastvisitdate = lastcontactdate,
dateofdeath = event_date_obs
)
usethis::use_data(cohort_raw, overwrite = TRUE)
cohort_survival <- cohort_raw %>%
derive_followup_date(
event_date = "dateofdeath",
censor_date = "lastvisitdate"
) %>%
derive_followup_time(index_date = "lotstartdate") %>%
derive_event_status(event_date = "dateofdeath") %>%
select(patientid, sex, age, condition, followup_days, event_status)
usethis::use_data(cohort_survival, overwrite = TRUE)
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