Publications

We show that it is possible to bound the total composite bias due to unmeasured confounding, selection, and differential misclassification, and to use that bound to assess the sensitivity of a risk ratio to any combination of these biases.

We extend a sensitivity analysis approach for selection bias to account for poor control selection in case-control studies.

Understanding the way in which a study sample relates to the target population is critical for avoiding and addressing bias. Communication about selection bias is aided by the use of causal graphs.

We provide bounds for selection bias under a variety of situations.

We show how E-values can be used and easily interpreted for sensitivity analysis in mediation.

This study investigated associations between maternal prepregnancy BMI and child behaviors at ages 9-11 years.

Aim: Community-based participatory research (CBPR) is an increasingly common approach in the USA, but still relatively rare in Europe. In the industrial zone of Marseille, there is a long history of pollution, but little is known about the health implications. This study documented the prevalence of different health issues in two heavily polluted towns in the industrial zone using a CBPR approach. Subject and methods: This study used a CBPR approach and epidemiologic methods to answer community members? questions about the health of residents in Marseille?s industrial zone by randomly sampling a cross-section of residents to systematically document health issues in Fos-sur-Mer and Port-Saint-Louis-du-Rhône, two towns in the industrial port area of Marseille, France. Results: Many chronic illnesses were elevated in these communities, as compared to regional and national prevalences, including chronic skin problems, asthma, cancer, and diabetes. Chronic skin problems and asthma were among the most common chronic illnesses reported. A majority of respondents also reported acute symptoms that affected daily life, including eye irritation or nose and throat problems. Conclusion: There is likely an environmental explanation for why, even after direct standardization, the prevalences of many diseases were higher in these communities than elsewhere. The combination of CBPR and rigorous epidemiologic methods helps make our findings relevant to both community members and researchers.