nest_tdc

nest_tdc.default

nest_tdc.list

Provides methods to nest data with time-dependent covariates (TDCs).
A <code>formula</code> must be provided where the right hand side (RHS) contains
the structure of the TDCs

internal

The Piece-wise exponential (Additive Mixed) Model
(PAMM; Bender and others (2018) <doi: 10.1177/1471082X17748083>) is a
powerful model class for the analysis of survival (or time-to-event) data,
based on Generalized Additive (Mixed) Models (GA(M)Ms).
It offers intuitive specification and robust estimation of complex survival
models with stratified baseline hazards, random effects, time-varying effects,
time-dependent covariates and cumulative effects (Bender and others (2019)),
as well as support for left-truncated data as well as competing risks,
recurrent events and multi-state settings.
pammtools provides tidy workflow for survival analysis with PAMMs,
including data simulation, transformation and other functions for data
preprocessing and model post-processing as well as visualization.

Andreas Bender

pammtools

Piece-Wise Exponential Additive Mixed Modeling Tools for
Survival Analysis

Fabian Scheipl

Johannes Piller

Philipp Kopper

Lukas Burk

nest_tdc function

<dl><dt>data</dt>
<dd>A suitable data structure (e.g. unnested data frame with
concurrent TDCs or a list where each element is a data frame, potentially
containing TDCs as specified in the RHS of <code>formula</code>).
Only TDCs present in <code>formula</code> will be returned.</dd>
<dt>formula</dt>
<dd>A two sided formula with a two part RHS, where the second
part indicates the structure of the TDC structure.</dd>
<dt>...</dt>
<dd>Further arguments passed to methods.</dd></dl>

Arguments

Create nested data frame from data with time-dependent covariates — nest_tdc

<dl>

<dt>data</dt>
<dd>A suitable data structure (e.g. unnested data frame with
concurrent TDCs or a list where each element is a data frame, potentially
containing TDCs as specified in the RHS of <code>formula</code>).
Only TDCs present in <code>formula</code> will be returned.</dd>


<dt>formula</dt>
<dd>A two sided formula with a two part RHS, where the second
part indicates the structure of the TDC structure.</dd>


<dt>...</dt>
<dd>Further arguments passed to methods.</dd>

</dl>

nest_tdc: Create nested data frame from data with time-dependent covariates

Description

Usage

Arguments