Open AccessDynamic and Flexible Survival Models for Extrapolation of Relative Survival: A Case Study and Simulation Study
Author(s) -
Benjamin Kearns,
Matt Stevenson,
Kostas Triantafyllopoulos,
Andrea Manca
Publication year - 2022
Publication title -
medical decision making
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.393
H-Index - 103
eISSN - 1552-681X
pISSN - 0272-989X
DOI - 10.1177/0272989x221107649
Subject(s) - extrapolation , relative survival , computer science , survival analysis , population , econometrics , statistics , mathematics , medicine , cancer registry , environmental health
Extrapolation of survival data is a key task in health technology assessments (HTAs), which may be improved by incorporating general population mortality data via relative survival models. Dynamic survival models are a promising method for extrapolation that may be expanded to dynamic relative survival models (DRSMs), a novel development presented here. There are currently neither examples of dynamic models in HTA nor comparisons of DRSMs with other relative survival models when used for survival extrapolation.