calc_ci

Given 2 column matrix or data frame, returns 3 column data.frame
with coefficient estimate plus lower and upper borders of the
95% confidence intervals.

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

calc_ci function

<dl><dt>ftab</dt>
<dd>A table with two columns, containing coefficients in the first
column and standard-errors in the second column.</dd></dl>

Arguments

Calculate confidence intervals — calc_ci

<dl>

<dt>ftab</dt>
<dd>A table with two columns, containing coefficients in the first
column and standard-errors in the second column.</dd>

</dl>

calc_ci: Calculate confidence intervals

Description

Usage

Arguments