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_bgA data frame with 2487 rows and 13 variables:
Mean BG readings within each episode, in mmol/L.
Standard deviation of BG readings within each episode.
Gender of patients.
Whether each patient is in the medical ward (ward = 0)
or surgical ward (ward = 1).
Patient group defined based on the median age.
Patient group defined based on the median of duration of monitoring episode.
Patient group defined based on the median of daily BG monitoring frequency.
Patients' age.
Patients' duration of monitoring episode.
Patients' daily BG monitoring frequency.
Tan CS, St<U+00F8>er 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.