American Journal of Epidemiology
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#1Andrea R. Molino (Johns Hopkins University)
#2Andersen K (Johns Hopkins University)
Last. Brooke A. Jarrett (Johns Hopkins University)H-Index: 7
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The coronavirus disease 2019 (COVID-19) pandemic thrust the field of public health into the spotlight. For many epidemiologists, biostatisticians, and other public health professionals, this caused the professional aspects of our lives to collide with the personal, as friends and family reached out with concerns and questions. Learning how to navigate this space was new for many and required refining our communication depending on context, setting, and audience. Some of us took to social media, ...
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#1Collin F. Payne (ANU: Australian National University)H-Index: 9
#2Lindsay C. Kobayashi (UM: University of Michigan)H-Index: 17
The population of older cancer survivors in the US is rapidly growing. However, little is currently known about how the health of older cancer survivors has changed over time and across successive birth cohorts. Using data from the US Health and Retirement Study, we parameterized a demographic microsimulation model to compare partial cohort life expectancy (LE) and disability-free LE for US men and women without cancer and with prevalent and incident cancer diagnoses for four successive 10-year ...
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#1Charlie Zhong (SC: University of Southern California)H-Index: 2
#2Travis Longcore (UCLA: University of California, Los Angeles)
Last. Meredith Franklin (SC: University of Southern California)H-Index: 15
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Only two-thirds of Americans meet the recommended 7 hours of sleep each night. Insufficient sleep and disruptions in circadian rhythm have been associated with numerous adverse health outcomes, including diabetes and cardiovascular disease. Several environmental disruptors of sleep have been previously reported, such as artificial light at night (ALAN) and noise. These studies tended to evaluate exposures individually. We evaluated the association between several spatially derived environmental ...
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#1Nicholas Belviso (URI: University of Rhode Island)H-Index: 2
#2Yichi Zhang (URI: University of Rhode Island)
Last. Xuerong Wen (URI: University of Rhode Island)H-Index: 14
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To examine methodologies that address imbalanced treatment switching and censoring, six different analytic approaches were evaluated under a comparative effectiveness framework: intention-to-treat, as-treated, intention-to-treat with censor-weighting, as-treated with censor-weighting, time-varying exposure, and time-varying exposure with censor-weighting. Marginal structural models were employed to address time-varying exposure, confounding, and possibly informative censoring in an administrativ...
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#1Ellen A. Eisen (University of California, Berkeley)H-Index: 60
#2Holly Elser (HUP: Hospital of the University of Pennsylvania)
Last. Sally Picciotto (University of California, Berkeley)H-Index: 21
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The COVID-19 pandemic redemonstrated the importance of work as a determinant of health. Extant disparities were accentuated, as the workforce was divided into the roughly 50% who could safely work from home and those who could not. With the spotlight on work, one might wonder where all the occupational epidemiologists have gone. To answer, we point to diminished research support and more limited workplace access that have led many to shift away from a focus on workers towards other vulnerable po...
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#1Daniel Westreich (UNC: University of North Carolina at Chapel Hill)H-Index: 33
#2Jessie K. Edwards (UNC: University of North Carolina at Chapel Hill)H-Index: 19
Last. Maarten van Smeden (UU: Utrecht University)H-Index: 19
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In this brief communication, we discuss the confusion of mortality with fatality in the interpretation of evidence in the COVID-19 pandemic, and how this confusion affects the translation of science into policy and practice. We discuss how this confusion has influenced COVID-19 policy in France, Sweden, and the United Kingdom, and discuss the implications for decision-making about COVID-19 vaccine distribution. We also discuss how this confusion is an example of a more general statistical fallac...
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#1G. David Batty (UCL: University College London)H-Index: 100
#2Bamba Gaye (French Institute of Health and Medical Research)H-Index: 9
Last. Camille LassaleH-Index: 26
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Ethnic inequalities in coronavirus disease 2019 (COVID-19) hospitalizations and mortality have been widely reported but there is scant understanding of how they are embodied. The UK Biobank prospective cohort study comprises around half a million people who were aged 40-69 years at study induction between 2006 and 2010 when information on ethnic background and potential explanatory factors was captured. Study members were prospectively linked to a national mortality registry. In an analytical sa...
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#1Ting Zhou (Sichuan University)
#2Jincheng Zhou (Amgen)H-Index: 6
Last. Haitao Chu (UMN: University of Minnesota)H-Index: 46
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Noncompliance, a common problem in randomized clinical trials (RCTs), can bias estimation of the effect of treatment receipt using a standard intention-to-treat analysis. The complier average causal effect (CACE) measures the effect of an intervention in the latent subpopulation that would comply with their assigned treatment. Although several methods have been developed to estimate the CACE in analyzing a single RCT, methods for estimating the CACE in a meta-analysis of RCTs with noncompliance ...
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#1Paris B. Adkins-Jackson (Harvard University)H-Index: 1
#2Tongtan Chantarat (UMN: University of Minnesota)H-Index: 4
Last. Ninez A. Ponce (UCLA: University of California, Los Angeles)H-Index: 29
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There have been over one hundred years of literature discussing the deleterious influence of racism on health. Much of the literature describes racism as a driver of social determinants of health such as housing, employment, income, and education. More recently, increased attention has been given to measuring the structural nature of a system that advantages one racialized group over others rather than solely relying on individual acknowledgement of racism. Despite these advances, there is still...
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#1Hongji Wu (Southern Medical University)
#2Hao Yuan (Southern Medical University)
Last. Zheng Chen (Southern Medical University)H-Index: 2
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In clinical and epidemiological studies, hazard ratios are often applied to compare treatment effects between two groups for survival data. For competing risks data, the corresponding quantities of interest are cause-specific hazard ratios (cHRs) and subdistribution hazard ratios (sHRs). However, they both have some limitations related to model assumptions and clinical interpretation. Therefore, we recommend restricted mean time lost (RMTL) as an alternative that is easy to interpret in a compet...
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