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_code belongs 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. NA indicates 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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[Package autoCovariateSelection version 1.0.0 Index]