| rwd {autoCovariateSelection} | R Documentation |
Sample Data for autoCovariateSelection
Description
This is data contains Medicare claims data of a small sample of 1000 patients from the publicly available CMS Medicare De-SynPUF data. It contains all data from three domains - diagnosis, procedures and medications. The diagnosis codes are ICD9 codes, procedures are CPT4/HCPCS codes and medications are NDC codes.
Usage
rwd
Format
A data frame with 69333 rows and 9 variables:
- person_id
patient_identifier
- index_date
Date of first exposure. For one patient, there will only be one index_date
- event_date
Date at which event_code occurred for the patient
- event_code
The medical coding of the event. These are ICD9, CPT4, HCPCS or NDC codes depending on the
domain- event_concept_id
Another identifier for the
event_code. This is irrelevant for this package and you can ignore it- domain
The domain to which the
event_codebelongs to. The three unique values are dx (for diagnosis), px (for procedure) and rx (for medication)- treatment
Binary indicator treatment allocation based on exposure. 1 indicates primary cohort and 0 for control/comparator cohort
- outcome_date
Date in which the outcome occurred.
NAindicates no outcome occurred. In this sample data, the outcome is death- last_enrollment_date
Last enrolled date of the patient. This field is irrelevant for this package and you can ignore it
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