SEQdata.LTFU: Simulated lost-to-followup example data for 'SEQuential()'

In SEQTaRget: Sequential Trial Emulation

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

Description

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

Usage

SEQdata.LTFU

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

SEQTaRget documentation built on Feb. 16, 2026, 5:10 p.m.