Simulated data inspired by the FLOW study (Perkovic 2024)...elt() The following variables are considered in this simulated data set
time: time of first event in years (first major irreversible kidney
event or non-related death)
status: event type at first major irreversible kidney event (=1),
non-related death (=2), or right censoring (=0)
y: clinical outcome measurement (eGFR) at landmark time (:=2)
r: missing indicator for y (1 if observed, 0 if either t<2 or if the
outcome was not measured for other reasons)
a: binary treatment (1 := active, 0 := placebo)
x1: covariate, clinical outcome at baseline (eGFR)
x2: covariate, binary treatment usage indicator (1: SGLT2 treatment,
0: none).
The actual failure times and censoring times are also included
(failure.time, cens.time), and the full-data outcome (y0) given t>2.
Simulated data
Perkovic, V., Tuttle, K. R., Rossing, P., Mahaffey, K. W., Mann, J. F., Bakris, G., Baeres, F. M., Idorn, T., Bosch-Traberg, H., Lausvig, N. L., and Pratley, R. (2024). Effects of semaglutide on chronic kidney disease in patients with type 2 diabetes. New England Journal of Medicine, 391(2):109–121.
data(truncatedscore)