Background Mediation analysis tests whether the relationship between two variables is
explained by a third intermediate variable. We sought to describe the usage and reporting of …

This article surveys results concerning the interpretation of the Cox hazard ratio in
connection to causality in a randomized study with a time-to-event response. The Cox model …

We revisit the well‐known but often misunderstood issue of (non) collapsibility of effect
measures in regression models for binary and time‐to‐event outcomes. We describe an …

Statistical methods for survival analysis play a central role in the assessment of treatment
effects in randomized clinical trials in cardiovascular disease, cancer, and many other fields …

Treatment specific survival curves are an important tool to illustrate the treatment effect in
studies with time‐to‐event outcomes. In non‐randomized studies, unadjusted estimates can …

The hazard ratio is one of the most commonly reported measures of treatment effect in
randomised trials, yet the source of much misinterpretation. This point was made clear by …

Multistate Models for the Analysis of Life History Data provides the first comprehensive
treatment of multistate modeling and analysis, including parametric, nonparametric and …

Background The change in estimate is a popular approach for selecting confounders in
epidemiology. It is recommended in epidemiologic textbooks and articles over significance …

In evidence synthesis, effect modifiers are typically described as variables that induce
treatment effect heterogeneity at the individual level, through treatment‐covariate …

Altered DNA methylation (DNAm) might be a biological intermediary in the pathway from
smoking to lung cancer. In this study, we investigated the contribution of differential blood …