Description

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.

Usage

Format

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.

References

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.