Simulated lost-to-followup example data for SEQuential()
Format
A dataframe with 4,139 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 zero, always zero 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