American Journal of Epidemiology
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4.90
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20.1k
Papers 10,000
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#1Paul N. Zivich (UNC: University of North Carolina at Chapel Hill)H-Index: 7
#2Stephen R. Cole (UNC: University of North Carolina at Chapel Hill)H-Index: 66
Last. Alexander Breskin (Durham University)H-Index: 8
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#1Alexander P. Keil (UNC: University of North Carolina at Chapel Hill)H-Index: 16
#2Jessie P. Buckley (JHU: Johns Hopkins University)H-Index: 23
Last. Amy E. Kalkbrenner (UWM: University of Wisconsin–Milwaukee)H-Index: 17
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#1Jaimie L. Gradus (BU: Boston University)H-Index: 26
#2Anthony J. Rosellini (BU: Boston University)H-Index: 24
Last. Henrik Toft Sørensen (Aarhus University Hospital)H-Index: 104
view all 8 authors...
Suicide attempts are a leading cause of injury globally. Accurate prediction of suicide attempts may offer opportunities for prevention. This case-cohort study used machine learning to examine sex-specific risk profiles for suicide attempts in Danish nationwide registry data. Cases were all persons who made a non-fatal suicide attempt between 1995 and 2015 (n = 22,974); the subcohort was a 5% random sample of the population at risk on January 1, 1995 (n = 265,183). We developed sex-stratified cl...
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#1Tatjana Gazibara (SDU: University of Southern Denmark)H-Index: 15
#2Katherine A. Ornstein (MSSM: Icahn School of Medicine at Mount Sinai)H-Index: 26
Last. Lau Caspar Thygesen (SDU: University of Southern Denmark)H-Index: 29
view all 7 authors...
We aimed to examine the association of young and middle-aged sibling bereavement with use of health services and risk of developing mental health disorders over 24 months before and after sibling's death. All persons aged 18-56 years who died of illness/natural causes between 2009 and 2016 were identified in the Danish Register of Causes of Death. The study sample included 31,842 bereaved siblings and 31,842 age- and sex-matched controls. Overall, the largest effect was observed for increased us...
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#1Gloria Huei-Jong Graf (CU: Columbia University)H-Index: 3
#2Christopher L Crowe (CU: Columbia University)H-Index: 4
Last. Daniel W. Belsky (CU: Columbia University)H-Index: 40
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Biological aging is a proposed mechanism through which social determinants drive health disparities. We conducted proof-of-concept testing of eight DNA-methylation and blood-chemistry quantifications of biological aging as mediators of disparities in healthspan between Black and White participants in the 2016 wave of the United States Health and Retirement Study (HRS; n=9005). We quantified biological aging from four DNA-methylation clocks (Horvath, Hannum, PhenoAge, and GrimAge), a DNA-methylat...
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#1Yongqi Zhong (University of Pittsburgh)
#2Edward H. Kennedy (CMU: Carnegie Mellon University)H-Index: 19
Last. Ashley I. Naimi (Emory University)H-Index: 19
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An increasing number of recent studies suggest doubly robust estimators with cross-fitting should be used when estimating causal effects with machine learning methods. However, existing programs that implement doubly robust estimators do not all support machine learning methods and cross-fitting, or provide estimates on multiplicative scales. To address these needs, we developed the AIPW package implementing the augmented inverse probability weighting (AIPW) estimation of average causal effects ...
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#1David M. Hureau (University at Albany, State University of New York)H-Index: 15
#2Theodore Wilson (University at Albany, State University of New York)H-Index: 7
In this paper, we depict the episodic nature of illegal gun carrying and test its co-occurrence with gun violence victimization and exposure. We tested differences in differences using data from the Pathways to Desistance Study originally collected between 2000 and 2010 on young people adjudicated for serious involvement in crime. We then tested the changes in gun victimization experiences attending gun carrying changes for this sample. We found gun victimization to be highest during periods of ...
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#1Jaimie L. Gradus (BU: Boston University)H-Index: 26
#2Timothy L. Lash (Emory University)H-Index: 46
Last. Henrik Toft Sørensen (AU: Aarhus University)H-Index: 104
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#1Robert M. Bossarte (WVU: West Virginia University)H-Index: 33
#2Chris J. Kennedy (Harvard University)H-Index: 7
Last. Ronald C. Kessler (Harvard University)H-Index: 247
view all 7 authors...
This issue contains a thoughtful report by Gradus et al. on a machine learning (ML) analysis of administrative variables to predict suicide attempts over two decades throughout Denmark. This is one of numerous recent studies that document strong concentration of risk of suicide-related behaviors (SRBs) among patients with high scores on ML models. The clear exposition of Gradus et al. provides an opportunity to review major challenges in developing, interpreting, and using such models: defining ...
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#1Magdalena CerdáH-Index: 52
Last. Deborah S. Hasin (CU: Columbia University)H-Index: 96
view all 12 authors...
Pain management clinic (PMC) laws were enacted by 12 states to promote appropriate opioid prescribing, but their impact is inadequately understood. We analyzed county-level opioid overdose deaths (National Vital Statistics System) and patients filling long-duration (≥30 day) or high-dose (≥90 morphine milligram equivalents per day) opioid prescriptions (IQVIA, Inc.) in the United States in 2010-2018. We fitted Besag-York-Mollie spatiotemporal models to estimate annual relative rates (RRs) of ove...
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