create.bootstrapped.dataset: Create a single bootstrap sample for clustered data For...

In IrregLong: Analysis of Longitudinal Data with Irregular Observation Times

Create a single bootstrap sample for clustered data For clustered data, create a bootstrapped sample by sampling, with replacement, the same number of clusters as in the original dataset.

Description

Create a single bootstrap sample for clustered data For clustered data, create a bootstrapped sample by sampling, with replacement, the same number of clusters as in the original dataset.

Usage

create.bootstrapped.dataset(data, idname)

Arguments

data	The dataset to be resampled
idname	A character indicating which column of the data contains subject identifiers.

Details

This function is designed to assist in computing bootstrap standard errors when working with longitudinal data. Given longitudinal data with multiple rows per subject, it will sample subjects, with replacement, n times, where n is the number of subjects in the original dataset. In the bootstrapped dataset, each resample has its own id.

IrregLong documentation built on Sept. 11, 2024, 6:19 p.m.