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Using data from observational studies to estimate the causal effect of a time-varying exposure, repeatedly measured over time, on an outcome of interest requires careful adjustment for confounding. Standard regression adjustment...

Aalen's additive model accelerated failure time model Causal effect marginal structural model structural nested cumulative failure time model time-varying confounding Bias Causality Humans Linear Models Models Statistical Probability

Using data from observational studies to estimate the causal effect of a time‐varying exposure, repeatedly measured over time, on an outcome of interest requires careful adjustment for confounding. Standard regression adjustment...

RESEARCH ARTICLE RESEARCH ARTICLES Aalen's additive model accelerated failure time model Causal effect marginal structural model structural nested cumulative failure time model time‐varying confounding

Original Articles Causal effect entropy maximization treatment effect semiparametric efficiency sieve method stabilized weights C14 C21

AIMS: Increases in fat-free mass and fat mass have been associated with higher risk of atrial fibrillation (AF) in observational studies. It is not known whether these associations reflect independent causal processes. Our aim...

Atrial fibrillation Bioimpedance Causal effect Fat mass FAT-FREE MASS Genetics Atrial fibrillation Biomarkers Body composition Genome-Wide Association Study Humans Mendelian Randomization Analysis Polymorphism Single Nucleotide