| inpat_bg {ROlogit} | R Documentation |
Inpatient blood glucose data for 2487 patients
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
inpat_bg
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.