inpat_bg: Inpatient blood glucose data for 2487 patients
In ROlogit: Fit Rank-Ordered Logit (RO-Logit) Model

A simulated dataset containing inpatient point-of-care blood glucose (BG) measurements from 2487 non-critical care adult patients above 40 years old. Data was simulated based on real data.

inpat_bg

A data frame with 2487 rows and 13 variables:

bg_mean: Mean BG readings within each episode, in mmol/L.
bg_sd: Standard deviation of BG readings within each episode.
sex: Gender of patients.
ward: Whether each patient is in the medical ward (ward = 0) or surgical ward (ward = 1).
age_group: Patient group defined based on the median age.
los_group: Patient group defined based on the median of duration of monitoring episode.
bg_freq_group: Patient group defined based on the median of daily BG monitoring frequency.
age: Patients' age.
los: Patients' duration of monitoring episode.
bg_freq: Patients' daily BG monitoring frequency.

Tan CS, Støer NC, Chen Y, Andersson M, Ning Y, Wee HL, Khoo EY, Tai ES, Kao SL, Reilly M. A stratification approach using logit-based models for confounder adjustment in the study of continuous outcomes. Statistical methods in medical research. 2017 Jan 1:0962280217747309.

ROlogit documentation built on May 2, 2019, 6:49 a.m.