In this article we introduce the concept of inverse probability of treatment weighting (IPTW)
and describe how this method can be applied to adjust for measured confounding in …

Health data are increasingly being generated at a massive scale, at various levels of
phenoty** and from different types of resources. Concurrent with recent technological …

Directed acyclic graphs (DAGs) are an intuitive yet rigorous tool to communicate about
causal questions in clinical and epidemiologic research and inform study design and …

Selection bias remains a subject of controversy. Existing definitions of selection bias are
ambiguous. To improve communication and the conduct of epidemiologic research focused …

In this paper, we propose a framework for thinking through the design and conduct of
descriptive epidemiologic studies. A well-defined descriptive question aims to quantify and …

Summary Background Hong Kong has been embroiled in increasingly violent social unrest
since June, 2019. We examined the associated population mental health burden, risk …

The lockdown imposed following the COVID-19 pandemic of spring 2020 dramatically
changed the daily lives and routines of millions of people worldwide. We analyze how such …

Background Little information exists about the prevalence of children exposed to maternal
mental illness. We aimed to estimate the prevalence of children and adolescents exposed to …

Importance Long-term exposure to fine particulate air pollution (PM 2.5) is a known risk
factor for cardiovascular events, but controversy remains as to whether the current National …

BackgroundEating behaviours in childhood are considered as risk factors for eating disorder
behaviours and diagnoses in adolescence. However, few longitudinal studies have …