demo_data: Example Dataset for Debiased Trial Emulation

In debiasedTrialEmulation: Pipeline for Debiased Target Trial Emulation

Example Dataset for Debiased Trial Emulation

Description

'demo_data' is a simulated dataset used to demonstrate the functionality of the 'debiasedTrialEmulation' package. It includes patient demographic information, treatment assignment, covariates, clinical outcomes, and negative control outcomes for evaluating treatment effects using propensity score methods.

The dataset contains 50,000 observations and 93 variables, including:

- **Demographic variables**: Ethnicity, age, sex, and cohort entry month. - **Treatment assignment**: Binary treatment indicator. - **Covariates**: Baseline health conditions and healthcare utilization variables. - **Primary outcomes**: Binary and time-to-event outcomes related to cardiovascular health. - **Negative control outcomes (NCOs)**: Outcomes used for bias calibration.

Usage

data(demo_data)

Format

A data frame with 50,000 rows and 93 variables

debiasedTrialEmulation documentation built on June 8, 2025, 9:42 p.m.