ped_info

ped_info.ped

Given an object of class <code>ped</code>, returns data frame with one row for each
interval containing interval information, mean values for numerical
variables and modus for non-numeric variables in the data set.

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

ped_info function

<dl><dt>ped</dt>
<dd>An object of class <code>ped</code> as returned by
<code>as_ped</code>.</dd></dl>

Arguments

Extract interval information and median/modus values for covariates — ped_info

<dl>

<dt>ped</dt>
<dd>An object of class <code>ped</code> as returned by
<code>as_ped</code>.</dd>

</dl>

ped_info: Extract interval information and median/modus values for covariates

Description

Usage

Value

Arguments

See Also

Examples