simdataHADS: Simulated dataset simdataHADS

In lcmm: Extended Mixed Models Using Latent Classes and Latent Processes

Simulated dataset simdataHADS

Description

The data mimic the PREDIALA study described and analyzed in Proust-Lima et al (2021 - https://arxiv.org/abs/2109.13064). The study aims to describe the trajectories of depressive symptomatology of patients suffering end-stage renal disease and registered on the renal transplant waiting list. Repeated measures of anxiety and depression (HADS) were simulated at different times of measurement for 561 subjects. Four time-independent covariates were also generated: group (dialyzed or pre-emptive), sex and age at entry in the cohort and time on the waiting list at entry in the cohort.

Format

A data frame with 1140 observations on the following 13 variables.

grp

group with 0=dialyzed and 1=preemptive

sex

sex with 0=woman and 1=man

age

age at entry in the cohort

hads_2

item 2 of HADS measuring depression

hads_4

item 4 of HADS measuring depression

hads_6

item 6 of HADS measuring depression

hads_8

item 8 of HADS measuring depression

hads_10

item 10 of HADS measuring depression

hads_12

item 12 of HADS measuring depression

hads_14

item 14 of HADS measuring depression

ID

subject identification number

time

time of measurement

time_entry

time on the waiting list at entry in the cohort

lcmm documentation built on Oct. 7, 2023, 1:08 a.m.