draw_cluster_bootstrap

name of the subject id in <code>df</code> (it should be a
numeric id that ranges from 1 to n, without skipping values)

idvar

identifiers of the subjects to be sampled

boot.ids

This function is part of the cluster bootstrap optimism correction
procedure described in Signorelli et al. (2020, in review). Note 
that the function does not perform the random sampling, but it
extracts the correct records from a dataframe, given the ids of
the sampled clusters (subjects)

internal

Computes penalized regression calibration (PRC), a
statistical method that allows to predict survival from
high-dimensional longitudinal predictors. PRC is described in
Signorelli et al. (2021, DOI: <doi:10.1002/sim.9178>)).

draw_cluster_bootstrap: Draw a cluster bootstrap sample from a data frame in long format

Description

Usage

Arguments

Value

References