| hosp {msmtools} | R Documentation |
Synthetic Hospital Admissions
Description
A dataset containing synthetic hospital admissions in the classic longitudinal format. The dataset counts imaginary 10 patients who undergo different (re)admission into a hospital. Some demographic and clinical variables are also included.
Usage
hosp
Format
A data.table with 53 rows and 12 variables:
- subj
Subject ID (integer)
- adm_number
Hospital admissions counter (integer)
- gender
Gender of patient (factor with 2 levels: "F" = females, "M" = males)
- age
Age of patient in years at the given observation (integer)
- rehab
Rehabilitation flag: if the admission has been in rehabilitation, then rehab = 1, else = 0 (integer)
- it
Intensive Therapy flag: if the admission has been in intensive therapy, then it = 1, else = 0 (integer)
- rehab_it
String which in one place marks the hospital admission types based on rehab and it. The standard admission is coded as "df" (default). If admission was in rehabilitation or in intensive therapy, rehab_it = "rehab" or "it", respectively (character)
- label_2
Subject status at the end of the study. It takes 2 values: "alive" and "dead" (character)
- label_3
Subject status at the end of the study. It takes 3 values: "alive" and "dead_in" and "dead_out" (character)
- dateIN
Exact admission date (date)
- dateOUT
Exact discharge date (date)
- dateCENS
Either censoring time or exact death time (date)