A parametric model to jointly characterize rate, duration, and severity of exacerbations in episodic diseases.

ABSTRACT:

Background

The natural history of many chronic diseases is characterized by periods of increased disease activity, commonly referred to as flare-ups or exacerbations. Accurate characterization of the burden of these exacerbations is an important research objective.

Methods

The purpose of this work was to develop a statistical framework for nuanced characterization of the three main features of exacerbations: their rate, duration, and severity, with interrelationships among these features being a particular focus. We jointly specified a zero-inflated accelerated failure time regression model for the rate, an accelerated failure time regression model for the duration, and a logistic regression model for the severity of exacerbations. Random effects were incorporated into each

SUBMITTER: Safari A 

PROVIDER: S-EPMC9837953 | biostudies-literature | 2023 Jan

REPOSITORIES: biostudies-literature