A strategy for optimal fitting of multiplicative and additive hazards regression models.

ABSTRACT:

Background

In survival analysis, data can be modeled using either a multiplicative hazards regression model (such as the Cox model) or an additive hazards regression model (such as Lin's or Aalen's model). While several diagnostic tools are available to check the assumptions underpinning each type of model, there is no defined procedure to fit these models optimally. Moreover, the two types of models are rarely combined in survival analysis. Here, we propose a strategy for optimal fitting of multiplicative and additive hazards regression models in survival analysis.

Methods

This section details our proposed strategy for optimal fitting of multiplicative and additive hazards regression models, with a focus on the assumptions underpinning each type of model, the diagnostic too

SUBMITTER: Lefebvre F 

PROVIDER: S-EPMC8101173 | biostudies-literature | 2021 May

REPOSITORIES: biostudies-literature