hdp: Hospital, doctor, patient (hdp) dataset
In MLMusingR: Practical Multilevel Modeling

hdp	R Documentation

Hospital, doctor, patient (hdp) dataset

Description

This dataset has a three-level, hierarchical structure with patients nested within doctors within hospitals. The simulation code can be found at <https://stats.idre.ucla.edu/r/codefragments/mesimulation/#setup>.

Usage

data(hdp)

Format

A data frame with 8,525 rows and 17 variables:

Age: Continuous in years but recorded at a higher degree of accuracy.
Married: Binary, married/living with partner or single.
FamilyHx: Binary (yes/no), does the patient have a family history (Hx) of cancer?
SmokingHx: Categorical with three levels, current smoker, former smoker, never smoked.
Sex: Binary (female/male).
CancerStage: Categorical with four levels, stages 1-4.
LengthofStay: Count number of days patients stayed in the hospital after surgery.
WBC: Continuous, white blood count. Roughly 3,000 is low, 10,000 is middle, and 30,000 per microliter is high.
RBC: Continuous, red blood count.
BMI: Body mass index given by the formula (kg / meters^2).
IL6: Continuous, interleukin 6, a proinflammatory cytokine commonly examined as an indicator of inflammation, cannot be lower than zero.
CRP: Continuous, C-reactive protein, a protein in the blood also used as an indicator of inflammation. It is also impacted by BMI.
HID: Hospital identifier.
DID: Doctor identifier
Experience: Years as a doctor.
School: Whether the school doctor trained at was high quality or not.
remission: Cancer in remission? 1 = yes, 0 = no.