prGetModelVariables

model

If splines, etc. should be cleaned
from the variables as these no longer are "pure" variables

remove_splines

If interaction variables are
not interesting then these should be removed. Often in
the case of <code><a rd-options="" href="/link/printCrudeAndAdjustedModel?package=Greg&version=1.2" data-mini-rdoc="Greg::printCrudeAndAdjustedModel">printCrudeAndAdjustedModel</a></code> it is impossible
to properly show interaction variables and it's better to show
these in a separate table

remove_interaction_vars

add_intercept


This function extract the modelled variables. Any interaction
terms are removed as those should already be represented by
the individual terms.


internal

Methods for manipulating regression models and for describing these in a style adapted for medical journals.
Contains functions for generating an HTML table with crude and adjusted estimates, plotting hazard ratio, plotting model
estimates and confidence intervals using forest plots, extending this to comparing multiple models in a single forest plots.
In addition to the descriptives methods, there are addons for the robust covariance matrix provided by the sandwich
package, a function for adding non-linearities to a model, and a wrapper around the Epi package's Lexis functions for
time-spliting a dataset when modeling non-proportional hazards in Cox regressions.

prGetModelVariables: Get the models variables

Description

Usage

Arguments

Value