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Bibliographic Details
Main Author: Lee, Ben
Format: Preprint
Published: 2024
Subjects:
Online Access:https://arxiv.org/abs/2406.00730
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author Lee, Ben
author_facet Lee, Ben
contents When considering many survival models, decisions become more challenging in health economic evaluation. In this paper, we present a set of methods to assist with selecting the most appropriate parametric survival models. The methods highlight areas of particularly poor fit. Furthermore, plots and overall p-values provide guidance on whether a parametric survival model should be rejected or not.
format Preprint
id arxiv_https___arxiv_org_abs_2406_00730
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Assessing survival models by interval testing
Lee, Ben
Methodology
When considering many survival models, decisions become more challenging in health economic evaluation. In this paper, we present a set of methods to assist with selecting the most appropriate parametric survival models. The methods highlight areas of particularly poor fit. Furthermore, plots and overall p-values provide guidance on whether a parametric survival model should be rejected or not.
title Assessing survival models by interval testing
topic Methodology
url https://arxiv.org/abs/2406.00730