find_bestfit {psm3mkv}

Find the "best" survival regression from a list of model fits

Description

When there are multiple survival regressions fitted to the same endpoint and dataset, it is necessary to identify the preferred model. This function reviews the fitted regressions and selects that with the minimum Akaike or Bayesian Information Criterion (AIC, BIC), depending on user choice. Model fits must be all parametric or all splines.

Usage

find_bestfit(reglist, crit)

Arguments

reglist

List of fitted survival regressions to an endpoint and dataset.

crit

Criterion to be used in selection of best fit, either "aic" (Akaike Information Criterion) or "bic" (Bayesian Information Criterion).

Value

List of the single survival regression with the best fit.

Examples

bosonc <- create_dummydata("flexbosms")
# Parametric modeling
fits_par <- fit_ends_mods_par(bosonc)
find_bestfit(fits_par$ttp, "aic")

# Splines modeling
fits_spl <- fit_ends_mods_spl(bosonc)
find_bestfit(fits_spl$ttp, "bic")