most citedA robust Bayesian bias-adjusted random effects model for consideration of uncertainty about bias terms in evidence synthesis

11 citations · 17 across the 2 of their papers we have counts for

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2 papers

stat.ME2022★ 11 cited

A robust Bayesian bias-adjusted random effects model for consideration of uncertainty about bias terms in evidence synthesis

Ivette Raices Cruz, Matthias C. M. Troffaes, Johan Lindström +1

Meta-analysis is a statistical method used in evidence synthesis for combining, analyzing and summarizing studies that have the same target endpoint and aims to derive a pooled qua…

stat.AP2015★ 6 cited

Reduced-rank spatio-temporal modeling of air pollution concentrations in the Multi-Ethnic Study of Atherosclerosis and Air Pollution

Casey Olives, Lianne Sheppard, Johan Lindström +3

There is growing evidence in the epidemiologic literature of the relationship between air pollution and adverse health outcomes. Prediction of individual air pollution exposure in…