| hdp {MLMusingR} | 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.
Source
https://stats.oarc.ucla.edu/r/codefragments/mesimulation/