ExampleDataLinear: Example data with continuous outcomes

In pprof: Modeling, Standardization and Testing for Provider Profiling

Example data with continuous outcomes

Description

A simulated data set containing 7901 observations, 5 continuous covariates and 100 providers.

Usage

data(ExampleDataLinear)

Format

A list containing the following elements:

Y

a vector representing continuous outcomes. Generated as a linear combination of provider-specific effects, covariates, and a random error term (\epsilon), where \epsilon follows a normal distribution with mean 0 and standard deviation 1.

ID

a vector representing identifier for each provider. The number of individuals per provider is generated from a Poisson distribution with mean 80.

Z

a data frame containing 5 continuous variables. Generated from a multivariate normal distribution, where the mean is calculated as (\gamma_i - \mu_{\gamma}) \cdot \rho / \sigma_{\gamma} with \mu_{\gamma} = \log(4/11) and \sigma_{\gamma} = 0.4, and the correlation between covariates and provider effects is 0.1.

Examples

data(ExampleDataLinear)
head(ExampleDataLinear$Y)
head(ExampleDataLinear$ID)
head(ExampleDataLinear$Z)

pprof documentation built on April 12, 2025, 1:33 a.m.