Abstract. Negative controls have gained traction as a useful tool for causal research to address confounding and bias. However, general guidance on how to

If reviewers can’t reliably tell the difference between top grant proposals, why should they pretend they can? A new wave of funders is turning to lotteries to break the tie.

Abstract. Machine learning-based heterogeneous treatment effect (HTE) estimation and discovery have recently received substantial attention in the healthca

The latest outbreak of Ebola in DR Congo loomed over proceedings at the World Health Assembly (WHA) last week. The first case: April 24. A Public Health Emergency of International Concern (PHEIC): May...

Or: Why I’m Tired of My Colleagues Making Arguments That Only Work on Us

Study designs classified as quasi- or natural experiments are typically accorded more face validity than observational study designs more broadly. Differen

Health data are increasingly generated, shared, and analyzed across an ever-growing collection of settings. While these developments enable new forms of biomedical discovery and clinical decision supp...

Synthetic control (SC) methods are commonly used to estimate the treatment effect on a single treated unit in panel data settings. An SC is a weighted average of control units built to match the tr...

Mediation analysis plays a crucial role in causal inference as it can investigate the pathways through which treatment influences outcome. Most existing mediation analysis assumes that mediation ef...

In the January 2025 issue of International Journal of Epidemiology, Hystad and colleagues [1] contribute new evidence on the perinatal health benefits of r

AbstractBackground. Diagnostic self-testing for SARS-CoV-2 may lead to selection bias in test-negative case–control designs (TND) for COVID-19 vaccine effe

Summary. Conventional analytic results do not reflect any source of uncertainty other than random error, and as a result readers must rely on informal judgments regarding the effect of possible bias...

Abstract. I present some extensions of Bayesian methods to situations in which biases are of concern. First, a basic misclassification problem is illustrat

Different scientific traditions offer seemingly disparate approaches to inferring causal relationships in ecological systems. This Perspective unifies the causal assumptions and methods from...

AbstractBackground. The age of puberty is declining. Earlier puberty has major implications due to associations with later physiological and psychiatric mo

Born of student disquiet after the 2008 crash, the group says it is reshaping economists’ education

She made key contributions to US cold-war science despite facing huge barriers as a Black woman.

Ethical research must not exploit scarcity as an experimental variable.