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Showing 1 to 12 of 60 entries
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Interface of epidemiology and history: a commentary on past, present, and future.

Epidemiologic reviews

Winkelstein W.
PMID: 10939000
Epidemiol Rev. 2000;22(1):2-6. doi: 10.1093/oxfordjournals.epirev.a018020.

No abstract available.

The burden of mental disorders.

Epidemiologic reviews

Eaton WW, Martins SS, Nestadt G, Bienvenu OJ, Clarke D, Alexandre P.
PMID: 18806255
Epidemiol Rev. 2008;30:1-14. doi: 10.1093/epirev/mxn011. Epub 2008 Sep 19.

In the last decade, there has been an increase in interest in the burden of chronic and disabling health conditions that are not necessarily fatal, such as the mental disorders. This review systematically summarizes data on the burden associated...

Tribute to Alan S. Morrison.

Epidemiologic reviews

MacMahon B, Cole P, Rothman K.
PMID: 8405210
Epidemiol Rev. 1993;15(1):3-6. doi: 10.1093/oxfordjournals.epirev.a036113.

No abstract available.

What to Do When Everything Happens at Once: Analytic Approaches to Estimate the Health Effects of Co-Occurring Social Policies.

Epidemiologic reviews

Matthay EC, Gottlieb LM, Rehkopf D, Tan ML, Vlahov D, Glymour MM.
PMID: 34215873
Epidemiol Rev. 2022 Jan 14;43(1):33-47. doi: 10.1093/epirev/mxab005.

Social policies have great potential to improve population health and reduce health disparities. Increasingly, those doing empirical research have sought to quantify the health effects of social policies by exploiting variation in the timing of policy changes across places....

Burden of Antimicrobial Resistance: Compared to What?.

Epidemiologic reviews

de Kraker MEA, Lipsitch M.
PMID: 33710259
Epidemiol Rev. 2022 Jan 14;43(1):53-64. doi: 10.1093/epirev/mxab001.

The increased focus on the public health burden of antimicrobial resistance (AMR) raises conceptual challenges, such as determining how much harm multidrug-resistant organisms do compared to what, or how to establish the burden. Here, we present a counterfactual framework...

Matching Methods for Confounder Adjustment: An Addition to the Epidemiologist's Toolbox.

Epidemiologic reviews

Greifer N, Stuart EA.
PMID: 34109972
Epidemiol Rev. 2021 Jun 10; doi: 10.1093/epirev/mxab003. Epub 2021 Jun 10.

Propensity score weighting and outcome regression are popular ways to adjust for observed confounders in epidemiological research. Here, we provide an introduction to matching methods, which serve the same purpose but can offer advantages in robustness and performance. A...

Evolution and Reproducibility of Simulation Modeling in Epidemiology and Health Policy Over Half a Century.

Epidemiologic reviews

Jalali MS, DiGennaro C, Guitar A, Lew K, Rahmandad H.
PMID: 34505122
Epidemiol Rev. 2022 Jan 14;43(1):166-175. doi: 10.1093/epirev/mxab006.

Simulation models are increasingly being used to inform epidemiologic studies and health policy, yet there is great variation in their transparency and reproducibility. In this review, we provide an overview of applications of simulation models in health policy and...

Monte Carlo Simulation Approaches for Quantitative Bias Analysis: A Tutorial.

Epidemiologic reviews

Banack HR, Hayes-Larson E, Mayeda ER.
PMID: 34664653
Epidemiol Rev. 2022 Jan 14;43(1):106-117. doi: 10.1093/epirev/mxab012.

Quantitative bias analysis can be used to empirically assess how far study estimates are from the truth (i.e., an estimate that is free of bias). These methods can be used to explore the potential impact of confounding bias, selection...

Longitudinal Methods for Modeling Exposures in Pharmacoepidemiologic Studies in Pregnancy.

Epidemiologic reviews

Wood ME, Lupattelli A, Palmsten K, Bandoli G, Hurault-Delarue C, Damase-Michel C, Chambers CD, Nordeng HME, van Gelder MMHJ.
PMID: 34100086
Epidemiol Rev. 2021 Jun 08; doi: 10.1093/epirev/mxab002. Epub 2021 Jun 08.

In many perinatal pharmacoepidemiologic studies, exposure to a medication is classified as "ever exposed" versus "never exposed" within each trimester or even over the entire pregnancy. This approach is often far from real-world exposure patterns, may lead to exposure...

Is the Way Forward to Step Back? Documenting the Frequency with which Study Goals are Misaligned with Study Methods and Interpretations in the Epidemiologic Literature.

Epidemiologic reviews

Kezios KL.
PMID: 34535799
Epidemiol Rev. 2021 Sep 17; doi: 10.1093/epirev/mxab008. Epub 2021 Sep 17.

In any research study, there is an underlying research process that should begin with a clear articulation of the study's goal. The study's goal drives this process; it determines many study features including the estimand of interest, the analytic...

A Systematic Review of Simulation Models to Track and Address the Opioid Crisis.

Epidemiologic reviews

Cerdá M, Jalali MS, Hamilton AD, DiGennaro C, Hyder A, Santaella-Tenorio J, Kaur N, Wang C, Keyes KM.
PMID: 34791110
Epidemiol Rev. 2022 Jan 14;43(1):147-165. doi: 10.1093/epirev/mxab013.

The opioid overdose crisis is driven by an intersecting set of social, structural, and economic forces. Simulation models are a tool to help us understand and address thiscomplex, dynamic, and nonlinear social phenomenon. We conducted a systematic review of...

Epidemiology of eye disease.

Epidemiologic reviews

Sommer A.
PMID: 2680557
Epidemiol Rev. 1989;11:236-40. doi: 10.1093/oxfordjournals.epirev.a036040.

No abstract available.

Showing 1 to 12 of 60 entries