hosp: Synthetic Hospital Admissions

In contefranz/msmtools: Building Augmented Data to Run Multi-State Models with 'msm' Package

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)

contefranz/msmtools documentation built on April 15, 2021, 2:22 a.m.