Abstract Purpose of Review Survival analyses are common and essential in medical
research. Most readers are familiar with Kaplan–Meier curves and Cox models; however …

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 …

Background and Objectives Little is known about the effect of education or other indicators of
cognitive reserve on the rate of reversion from mild cognitive impairment (MCI) to normal …

Multi-state models are frequently used when data come from subjects observed over time
and where focus is on the occurrence of events that the subjects may experience. A …

Objectives Using a reversible multistate model, we prospectively examined neuropsychiatric
(NP) events for attribution, outcome and association with health-related quality of life …

This paper provides guidance for researchers with some mathematical background on the
conduct of time‐to‐event analysis in observational studies based on intensity (hazard) …

Overall survival is defined as the time since randomization into the clinical trial to event of
death or censor (end of trial or follow‐up), and is considered to be the most reliable cancer …

The win ratio approach proposed by Pocock et al.(2012) has become a popular tool for
analyzing composite endpoints of death and non-fatal events like hospitalization. Its …

Background Multistate models can be effectively used to characterise the natural history of
cancer. Inference from such models has previously been useful for setting screening …

The restricted mean time in favor (RMT‐IF) of treatment is a nonparametric effect size for
complex life history data. It is defined as the net average time the treated spend in a more …