SEQdata.LTFU: Simulated lost-to-followup example data for 'SEQuential()'
In SEQTaRget: Sequential Trial Emulation

SEQdata.LTFU

R Documentation

Simulated lost-to-followup example data for `SEQuential()`

Simulated lost-to-followup example data for SEQuential()

SEQdata.LTFU

A dataframe with 54,687 rows and 13 columns:

ID: Integer: Unique ID emulating individual patients
time: Integer: Time of observation, always begins at 0, max time of 59; however, if lost-to-followup, time is truncated at a random point
eligible: Binary: eligibility criteria for timepoints
outcome: Binary: If an outcome is observed at this time point
tx_init: Binary: If treatment is observed at this time point
sex: Binary: Sex of the emulated patient
N: Numeric: Normal random variable from N(10,5)
L: Numeric: 4% continuously increase from U(0, 1)
P: Numeric: 2% continuously decrease from U(9, 10)
excusedOne: Binary: Once one, always one variable emulating an excuse for treatment switch
excusedZero: Binary: Once one, always one variable emulating an excuse for treatment switch
LTFU: Binary: Flag for losing a simulated ID to followup, if 1 there are no more records of the ID afterwards
eligible_cense: Binary: emulates columns which are eligible to entering into censoring models (e.g. if you want to limit columns for the LTFU model)