calc_ci

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

ftab

<p>Given 2 column matrix or data frame, returns 3 column data.frame
with coefficient estimate plus lower and upper borders of the
95</p>

internal

The Piece-wise exponential (Additive Mixed) Model
(PAMM; Bender and Scheipl (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 (2018) <doi: 10.1093/biostatistics/kxy003>.
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

calc_ci: Calculate confidence intervals

Description

Usage

Arguments