Prognostics and systems health management (PHM) is an enabling discipline that uses
sensors to assess the health of systems, diagnoses anomalous behavior, and predicts the …

Modelling Survival Data in Medical Research, Fourth Edition, describes the analysis of
survival data, illustrated using a wide range of examples from biomedical research. Written …

Objective To forecast dementia prevalence with a dynamic modelling approach that
integrates calendar trends in dementia incidence with those for mortality and cardiovascular …

Objective To determine the prevalence of hypermetabolism, relative to body composition, in
amyotrophic lateral sclerosis (ALS) and its relationship with clinical features of disease and …

Purpose Resistance exercise (RE) can improve many cardiovascular disease (CVD) risk
factors, but specific data on the effects on CVD events and mortality are lacking. We …

Joint models for longitudinal and time-to-event data constitute an attractive modeling
framework that has received a lot of interest in the recent years. This paper presents the …

Wide-Ranging Coverage of Parametric Modeling in Linear and Nonlinear Mixed Effects
Models Mixed Effects Models for the Population Approach: Models, Tasks, Methods and …

This volume examines modern techniques and research problems in the analysis of lifetime
data analysis. This area of statistics deals with time-to-event data which is complicated not …

In this review, we present an overview of joint models for longitudinal and time-to-event data.
We introduce a generalized formulation for the joint model that incorporates multiple …

Background: Doxycycline inhibits formation and progression of abdominal aortic aneurysms
(AAAs) in preclinical models of the disease, but it is unclear whether and how this …