2020 Articles of the Year and Reviewers of the Year
Am J Epidemiol. 2021 May 6:kwab128. doi: 10.1093/aje/kwab128. Online ahead of print.NO ABSTRACTPMID:33959746 | DOI:10.1093/aje/kwab128 (Source: Am J Epidemiol)
Source: Am J Epidemiol - May 7, 2021 Category: Epidemiology Source Type: research

2020 Articles of the Year and Reviewers of the Year
Am J Epidemiol. 2021 May 6:kwab128. doi: 10.1093/aje/kwab128. Online ahead of print.NO ABSTRACTPMID:33959746 | DOI:10.1093/aje/kwab128 (Source: Am J Epidemiol)
Source: Am J Epidemiol - May 7, 2021 Category: Epidemiology Source Type: research

2020 Articles of the Year and Reviewers of the Year
Am J Epidemiol. 2021 May 6:kwab128. doi: 10.1093/aje/kwab128. Online ahead of print.NO ABSTRACTPMID:33959746 | DOI:10.1093/aje/kwab128 (Source: Am J Epidemiol)
Source: Am J Epidemiol - May 7, 2021 Category: Epidemiology Source Type: research

Association of Medicaid Expansion with Suicide Deaths among Nonelderly U.S. Adults
We examined the association of Medicaid expansion with rates of suicide death among nonelderly adults per 100,000 population using a difference-in-differences approach. Adjusting for state-level confounders, Medicaid expansion states had 1.2 (95% CI -2.5, 0.1) fewer suicide deaths per 100,000 population per year in the post-expansion period than would have been expected if they had followed the same trend in suicide rates as non-expansion states. Medicaid expansion was associated with reductions in suicide rates among women, men, those 30-44 years, white, non-Hispanic individuals, and those without a college degree. Medica...
Source: Am J Epidemiol - May 5, 2021 Category: Epidemiology Authors: Anna E Austin Rebecca B Naumann Nicole A Short Source Type: research

Dietary Vitamin K Intake and the Risk of Pancreatic Cancer: A Prospective Study of 101695 American Adults
Am J Epidemiol. 2021 May 4:kwab131. doi: 10.1093/aje/kwab131. Online ahead of print.ABSTRACTNo epidemiological studies have been conducted to assess the association of dietary vitamin K intake with the risk of pancreatic cancer. We used prospective data from the Prostate, Lung, Colorectal, and Ovarian Cancer Screening Trial between 1993 and 2009 to fill this gap. A total of 101695 subjects were identified. Dietary intakes of phylloquinone (vitamin K1), menaquinones (vitamin K2), and dihydrophylloquinone (dihydrovitamin K1) were assessed with a food frequency questionnaire. Cox regression was applied to calculate hazard rat...
Source: Am J Epidemiol - May 5, 2021 Category: Epidemiology Authors: Dao-Wu Yu Qu-Jin Li Long Cheng Peng-Fei Yang Wei-Ping Sun Yang Peng Jie-Jun Hu Jing-Jing Wu Jian-Ping Gong Guo-Chao Zhong Source Type: research

Association of Medicaid Expansion with Suicide Deaths among Nonelderly U.S. Adults
We examined the association of Medicaid expansion with rates of suicide death among nonelderly adults per 100,000 population using a difference-in-differences approach. Adjusting for state-level confounders, Medicaid expansion states had 1.2 (95% CI -2.5, 0.1) fewer suicide deaths per 100,000 population per year in the post-expansion period than would have been expected if they had followed the same trend in suicide rates as non-expansion states. Medicaid expansion was associated with reductions in suicide rates among women, men, those 30-44 years, white, non-Hispanic individuals, and those without a college degree. Medica...
Source: Am J Epidemiol - May 5, 2021 Category: Epidemiology Authors: Anna E Austin Rebecca B Naumann Nicole A Short Source Type: research

Dietary Vitamin K Intake and the Risk of Pancreatic Cancer: A Prospective Study of 101695 American Adults
Am J Epidemiol. 2021 May 4:kwab131. doi: 10.1093/aje/kwab131. Online ahead of print.ABSTRACTNo epidemiological studies have been conducted to assess the association of dietary vitamin K intake with the risk of pancreatic cancer. We used prospective data from the Prostate, Lung, Colorectal, and Ovarian Cancer Screening Trial between 1993 and 2009 to fill this gap. A total of 101695 subjects were identified. Dietary intakes of phylloquinone (vitamin K1), menaquinones (vitamin K2), and dihydrophylloquinone (dihydrovitamin K1) were assessed with a food frequency questionnaire. Cox regression was applied to calculate hazard rat...
Source: Am J Epidemiol - May 5, 2021 Category: Epidemiology Authors: Dao-Wu Yu Qu-Jin Li Long Cheng Peng-Fei Yang Wei-Ping Sun Yang Peng Jie-Jun Hu Jing-Jing Wu Jian-Ping Gong Guo-Chao Zhong Source Type: research

A Robust Test for Additive Gene-Environment Interaction Under the Trend Effect of Genotype Using an Empirical Bayes-Type Shrinkage Estimator
Am J Epidemiol. 2021 May 2:kwab124. doi: 10.1093/aje/kwab124. Online ahead of print.ABSTRACTEvaluating gene by environment (G$\times$E) interaction under an additive risk model (i.e. additive interaction) has gained wider attention. Recently, statistical tests have been proposed for detecting additive interaction that utilize an assumption on G-E independence to boost power, which do not rely on restrictive genetic models such as dominant or recessive models. However, a major limitation of these methods is a sharp increase in type I error when this assumption is violated. Our goal is to develop a robust test for additive G...
Source: Am J Epidemiol - May 4, 2021 Category: Epidemiology Authors: Nilotpal Sanyal Valerio Napolioni Matthieu de Rochemonteix Micha ël E Belloy Neil E Caporaso Maria Teresa Landi Michael D Greicius Nilanjan Chatterjee Summer S Han Source Type: research

A Robust Test for Additive Gene-Environment Interaction Under the Trend Effect of Genotype Using an Empirical Bayes-Type Shrinkage Estimator
Am J Epidemiol. 2021 May 2:kwab124. doi: 10.1093/aje/kwab124. Online ahead of print.ABSTRACTEvaluating gene by environment (G$\times$E) interaction under an additive risk model (i.e. additive interaction) has gained wider attention. Recently, statistical tests have been proposed for detecting additive interaction that utilize an assumption on G-E independence to boost power, which do not rely on restrictive genetic models such as dominant or recessive models. However, a major limitation of these methods is a sharp increase in type I error when this assumption is violated. Our goal is to develop a robust test for additive G...
Source: Am J Epidemiol - May 4, 2021 Category: Epidemiology Authors: Nilotpal Sanyal Valerio Napolioni Matthieu de Rochemonteix Micha ël E Belloy Neil E Caporaso Maria Teresa Landi Michael D Greicius Nilanjan Chatterjee Summer S Han Source Type: research

The Longitudinal Association Between Retirement and Depression: A Systematic Review and Meta-Analysis
Am J Epidemiol. 2021 Apr 29:kwab125. doi: 10.1093/aje/kwab125. Online ahead of print.ABSTRACTThe purpose of this study was to collect the evidence of the relationship between retirement and depression through meta-analysis, and further analyze the heterogeneity of results. The quality of the studies was rated based on ten predefined criteria. We searched articles published between 1980 and 2020 and a total of 25 longitudinal studies were included in the meta-analysis. The meta-analysis results showed that retirement was associated with more depressive symptoms (d =0.044, 95%CI 0.008 to 0.080). The association of involuntar...
Source: Am J Epidemiol - April 29, 2021 Category: Epidemiology Authors: Wentao Li Xin Ye Dawei Zhu Ping He Source Type: research

Cancer Risk in Patients with Autoimmune Hepatitis: A Nationwide Population-Based Cohort Study with Histopathology
Am J Epidemiol. 2021 Apr 29:kwab119. doi: 10.1093/aje/kwab119. Online ahead of print.ABSTRACTWe aimed to determine the risk of incident cancer in autoimmune hepatitis (AIH) compared to the general population and siblings. AIH was defined by the presence of a medical diagnosis of AIH and a liver biopsy in a nationwide Swedish population-based cohort study. We identified 5,268 adults with AIH diagnosed 1969-2016 and 22,996 matched general population reference individuals and 4,170 sibling comparators. Using Cox regression, hazard ratios (HRs) were determined for any incident cancer and sub-types determined from the Swedish C...
Source: Am J Epidemiol - April 29, 2021 Category: Epidemiology Authors: Rajani Sharma Elizabeth C Verna Tracey G Simon Jonas S öderling Hannes Hagstr öm Peter H R Green Jonas F Ludvigsson Source Type: research

The Longitudinal Association Between Retirement and Depression: A Systematic Review and Meta-Analysis
Am J Epidemiol. 2021 Apr 29:kwab125. doi: 10.1093/aje/kwab125. Online ahead of print.ABSTRACTThe purpose of this study was to collect the evidence of the relationship between retirement and depression through meta-analysis, and further analyze the heterogeneity of results. The quality of the studies was rated based on ten predefined criteria. We searched articles published between 1980 and 2020 and a total of 25 longitudinal studies were included in the meta-analysis. The meta-analysis results showed that retirement was associated with more depressive symptoms (d =0.044, 95%CI 0.008 to 0.080). The association of involuntar...
Source: Am J Epidemiol - April 29, 2021 Category: Epidemiology Authors: Wentao Li Xin Ye Dawei Zhu Ping He Source Type: research

Cancer Risk in Patients with Autoimmune Hepatitis: A Nationwide Population-Based Cohort Study with Histopathology
Am J Epidemiol. 2021 Apr 29:kwab119. doi: 10.1093/aje/kwab119. Online ahead of print.ABSTRACTWe aimed to determine the risk of incident cancer in autoimmune hepatitis (AIH) compared to the general population and siblings. AIH was defined by the presence of a medical diagnosis of AIH and a liver biopsy in a nationwide Swedish population-based cohort study. We identified 5,268 adults with AIH diagnosed 1969-2016 and 22,996 matched general population reference individuals and 4,170 sibling comparators. Using Cox regression, hazard ratios (HRs) were determined for any incident cancer and sub-types determined from the Swedish C...
Source: Am J Epidemiol - April 29, 2021 Category: Epidemiology Authors: Rajani Sharma Elizabeth C Verna Tracey G Simon Jonas S öderling Hannes Hagstr öm Peter H R Green Jonas F Ludvigsson Source Type: research

The Longitudinal Association Between Retirement and Depression: A Systematic Review and Meta-Analysis
Am J Epidemiol. 2021 Apr 29:kwab125. doi: 10.1093/aje/kwab125. Online ahead of print.ABSTRACTThe purpose of this study was to collect the evidence of the relationship between retirement and depression through meta-analysis, and further analyze the heterogeneity of results. The quality of the studies was rated based on ten predefined criteria. We searched articles published between 1980 and 2020 and a total of 25 longitudinal studies were included in the meta-analysis. The meta-analysis results showed that retirement was associated with more depressive symptoms (d =0.044, 95%CI 0.008 to 0.080). The association of involuntar...
Source: Am J Epidemiol - April 29, 2021 Category: Epidemiology Authors: Wentao Li Xin Ye Dawei Zhu Ping He Source Type: research

Cancer Risk in Patients with Autoimmune Hepatitis: A Nationwide Population-Based Cohort Study with Histopathology
Am J Epidemiol. 2021 Apr 29:kwab119. doi: 10.1093/aje/kwab119. Online ahead of print.ABSTRACTWe aimed to determine the risk of incident cancer in autoimmune hepatitis (AIH) compared to the general population and siblings. AIH was defined by the presence of a medical diagnosis of AIH and a liver biopsy in a nationwide Swedish population-based cohort study. We identified 5,268 adults with AIH diagnosed 1969-2016 and 22,996 matched general population reference individuals and 4,170 sibling comparators. Using Cox regression, hazard ratios (HRs) were determined for any incident cancer and sub-types determined from the Swedish C...
Source: Am J Epidemiol - April 29, 2021 Category: Epidemiology Authors: Rajani Sharma Elizabeth C Verna Tracey G Simon Jonas S öderling Hannes Hagstr öm Peter H R Green Jonas F Ludvigsson Source Type: research

The Longitudinal Association Between Retirement and Depression: A Systematic Review and Meta-Analysis
Am J Epidemiol. 2021 Apr 29:kwab125. doi: 10.1093/aje/kwab125. Online ahead of print.ABSTRACTThe purpose of this study was to collect the evidence of the relationship between retirement and depression through meta-analysis, and further analyze the heterogeneity of results. The quality of the studies was rated based on ten predefined criteria. We searched articles published between 1980 and 2020 and a total of 25 longitudinal studies were included in the meta-analysis. The meta-analysis results showed that retirement was associated with more depressive symptoms (d =0.044, 95%CI 0.008 to 0.080). The association of involuntar...
Source: Am J Epidemiol - April 29, 2021 Category: Epidemiology Authors: Wentao Li Xin Ye Dawei Zhu Ping He Source Type: research

Cancer Risk in Patients with Autoimmune Hepatitis: A Nationwide Population-Based Cohort Study with Histopathology
Am J Epidemiol. 2021 Apr 29:kwab119. doi: 10.1093/aje/kwab119. Online ahead of print.ABSTRACTWe aimed to determine the risk of incident cancer in autoimmune hepatitis (AIH) compared to the general population and siblings. AIH was defined by the presence of a medical diagnosis of AIH and a liver biopsy in a nationwide Swedish population-based cohort study. We identified 5,268 adults with AIH diagnosed 1969-2016 and 22,996 matched general population reference individuals and 4,170 sibling comparators. Using Cox regression, hazard ratios (HRs) were determined for any incident cancer and sub-types determined from the Swedish C...
Source: Am J Epidemiol - April 29, 2021 Category: Epidemiology Authors: Rajani Sharma Elizabeth C Verna Tracey G Simon Jonas S öderling Hannes Hagstr öm Peter H R Green Jonas F Ludvigsson Source Type: research

The Longitudinal Association Between Retirement and Depression: A Systematic Review and Meta-Analysis
Am J Epidemiol. 2021 Apr 29:kwab125. doi: 10.1093/aje/kwab125. Online ahead of print.ABSTRACTThe purpose of this study was to collect the evidence of the relationship between retirement and depression through meta-analysis, and further analyze the heterogeneity of results. The quality of the studies was rated based on ten predefined criteria. We searched articles published between 1980 and 2020 and a total of 25 longitudinal studies were included in the meta-analysis. The meta-analysis results showed that retirement was associated with more depressive symptoms (d =0.044, 95%CI 0.008 to 0.080). The association of involuntar...
Source: Am J Epidemiol - April 29, 2021 Category: Epidemiology Authors: Wentao Li Xin Ye Dawei Zhu Ping He Source Type: research

Cancer Risk in Patients with Autoimmune Hepatitis: A Nationwide Population-Based Cohort Study with Histopathology
Am J Epidemiol. 2021 Apr 29:kwab119. doi: 10.1093/aje/kwab119. Online ahead of print.ABSTRACTWe aimed to determine the risk of incident cancer in autoimmune hepatitis (AIH) compared to the general population and siblings. AIH was defined by the presence of a medical diagnosis of AIH and a liver biopsy in a nationwide Swedish population-based cohort study. We identified 5,268 adults with AIH diagnosed 1969-2016 and 22,996 matched general population reference individuals and 4,170 sibling comparators. Using Cox regression, hazard ratios (HRs) were determined for any incident cancer and sub-types determined from the Swedish C...
Source: Am J Epidemiol - April 29, 2021 Category: Epidemiology Authors: Rajani Sharma Elizabeth C Verna Tracey G Simon Jonas S öderling Hannes Hagstr öm Peter H R Green Jonas F Ludvigsson Source Type: research

Body-Mass Index and Mortality among Adults with Incident Myocardial Infarction
We examined the relationship of BMI before and after MI, and change in weight, with all-cause mortality among participants of the Nurses' Health Study (1980-2016) and Health Professionals Follow up Study (1988-2016) cohorts. During up to 36 years of follow-up, we documented 4856 incident nonfatal MI cases, among whom 2407 died. For the pre-MI and post-MI BMI, overweight was not associated with lower mortality. Obesity (BMI ≥ 30 kg/m2) was associated with higher risk of mortality. Compared to participants with post-MI BMI of 22.5-24.9, HRs were 1.16, 95% CI: 1.01, 1.34 for BMI 30-34.9 and 1.52, 95% CI: 1.27, 1.83 for BMI...
Source: Am J Epidemiol - April 28, 2021 Category: Epidemiology Authors: Laila Al-Shaar Yanping Li Eric B Rimm Jo Ann E Manson Bernard Rosner Frank B Hu Meir J Stampfer Walter C Willett Source Type: research

Association Between Hurricane Sandy and Emergency Department Visits In New York City By Age and Cause
We examined the relative change in cause-specific emergency department (ED) visits among residents of New York City during and after Hurricane Sandy, a tropical cyclone that affected the northeastern United States in October 2012. We used quasi-Poisson constrained distributed lag models to compare the number of ED visits on and after Hurricane Sandy to all other days, 2005-2014, adjusting for temporal trends. Among residents aged ≥ 65 years, Hurricane Sandy was associated with a higher rate of ED visits due to injuries and poisoning (RR: 1.19, [95% CI: 1.10, 1.28]), respiratory disease (1.35, [1.21, 1.49]), cardiovascul...
Source: Am J Epidemiol - April 28, 2021 Category: Epidemiology Authors: Kate R Weinberger Erin R Kulick Amelia K Boehme Shengzhi Sun Francesca Dominici Gregory A Wellenius Source Type: research

COMETS Analytics: An online tool for analyzing and meta-analyzing metabolomics data in large research consortia
Am J Epidemiol. 2021 Apr 22:kwab120. doi: 10.1093/aje/kwab120. Online ahead of print.ABSTRACTConsortium-based research is crucial for producing reliable high-quality findings but existing tools for consortium studies have important drawbacks with respect to data protection, ease of deployment, and analytical rigor. To address these concerns, we developed COnsortium of METabolomics Studies (COMETS) Analytics to support and streamline consortium-based analyses of metabolomics and other omics data. The application requires no specialized expertise and can be run locally to guarantee data protection or through a web-based serv...
Source: Am J Epidemiol - April 23, 2021 Category: Epidemiology Authors: Marinella Temprosa Steven C Moore Krista A Zanetti Nathan Appel David Ruggieri Kaitlyn M Mazzilli Kai-Ling Chen Rachel S Kelly Jessica A Lasky-Su Erikka Loftfield Kathleen McClain Brian Park Laura Trijsburg Oana A Zeleznik Ewy A Math é Source Type: research

COMETS Analytics: An online tool for analyzing and meta-analyzing metabolomics data in large research consortia
Am J Epidemiol. 2021 Apr 22:kwab120. doi: 10.1093/aje/kwab120. Online ahead of print.ABSTRACTConsortium-based research is crucial for producing reliable high-quality findings but existing tools for consortium studies have important drawbacks with respect to data protection, ease of deployment, and analytical rigor. To address these concerns, we developed COnsortium of METabolomics Studies (COMETS) Analytics to support and streamline consortium-based analyses of metabolomics and other omics data. The application requires no specialized expertise and can be run locally to guarantee data protection or through a web-based serv...
Source: Am J Epidemiol - April 23, 2021 Category: Epidemiology Authors: Marinella Temprosa Steven C Moore Krista A Zanetti Nathan Appel David Ruggieri Kaitlyn M Mazzilli Kai-Ling Chen Rachel S Kelly Jessica A Lasky-Su Erikka Loftfield Kathleen McClain Brian Park Laura Trijsburg Oana A Zeleznik Ewy A Math é Source Type: research

COMETS Analytics: An online tool for analyzing and meta-analyzing metabolomics data in large research consortia
Am J Epidemiol. 2021 Apr 22:kwab120. doi: 10.1093/aje/kwab120. Online ahead of print.ABSTRACTConsortium-based research is crucial for producing reliable high-quality findings but existing tools for consortium studies have important drawbacks with respect to data protection, ease of deployment, and analytical rigor. To address these concerns, we developed COnsortium of METabolomics Studies (COMETS) Analytics to support and streamline consortium-based analyses of metabolomics and other omics data. The application requires no specialized expertise and can be run locally to guarantee data protection or through a web-based serv...
Source: Am J Epidemiol - April 23, 2021 Category: Epidemiology Authors: Marinella Temprosa Steven C Moore Krista A Zanetti Nathan Appel David Ruggieri Kaitlyn M Mazzilli Kai-Ling Chen Rachel S Kelly Jessica A Lasky-Su Erikka Loftfield Kathleen McClain Brian Park Laura Trijsburg Oana A Zeleznik Ewy A Math é Source Type: research

COMETS Analytics: An online tool for analyzing and meta-analyzing metabolomics data in large research consortia
Am J Epidemiol. 2021 Apr 22:kwab120. doi: 10.1093/aje/kwab120. Online ahead of print.ABSTRACTConsortium-based research is crucial for producing reliable high-quality findings but existing tools for consortium studies have important drawbacks with respect to data protection, ease of deployment, and analytical rigor. To address these concerns, we developed COnsortium of METabolomics Studies (COMETS) Analytics to support and streamline consortium-based analyses of metabolomics and other omics data. The application requires no specialized expertise and can be run locally to guarantee data protection or through a web-based serv...
Source: Am J Epidemiol - April 23, 2021 Category: Epidemiology Authors: Marinella Temprosa Steven C Moore Krista A Zanetti Nathan Appel David Ruggieri Kaitlyn M Mazzilli Kai-Ling Chen Rachel S Kelly Jessica A Lasky-Su Erikka Loftfield Kathleen McClain Brian Park Laura Trijsburg Oana A Zeleznik Ewy A Math é Source Type: research

COMETS Analytics: An online tool for analyzing and meta-analyzing metabolomics data in large research consortia
Am J Epidemiol. 2021 Apr 22:kwab120. doi: 10.1093/aje/kwab120. Online ahead of print.ABSTRACTConsortium-based research is crucial for producing reliable high-quality findings but existing tools for consortium studies have important drawbacks with respect to data protection, ease of deployment, and analytical rigor. To address these concerns, we developed COnsortium of METabolomics Studies (COMETS) Analytics to support and streamline consortium-based analyses of metabolomics and other omics data. The application requires no specialized expertise and can be run locally to guarantee data protection or through a web-based serv...
Source: Am J Epidemiol - April 23, 2021 Category: Epidemiology Authors: Marinella Temprosa Steven C Moore Krista A Zanetti Nathan Appel David Ruggieri Kaitlyn M Mazzilli Kai-Ling Chen Rachel S Kelly Jessica A Lasky-Su Erikka Loftfield Kathleen McClain Brian Park Laura Trijsburg Oana A Zeleznik Ewy A Math é Source Type: research

California's Mental Health Services Act and Mortality Due to Suicide, Homicide, and Acute Effects of Alcohol: A Synthetic Control Application
Am J Epidemiol. 2021 Apr 21:kwab123. doi: 10.1093/aje/kwab123. Online ahead of print.ABSTRACTCalifornia's Mental Health Services Act (MHSA) substantially expanded funding of County mental health services through a state tax, and led to broad prevention efforts and intensive services for individuals experiencing serious mental disorders. We estimated the associations between MHSA and mortality due to suicide, homicide, and acute effects of alcohol. Using annual cause-specific mortality data for each US state and the District of Columbia from 1976-2015, we used a generalization of the quasi-experimental synthetic control met...
Source: Am J Epidemiol - April 22, 2021 Category: Epidemiology Authors: Scott C Zimmerman Ellicott C Matthay Kara E Rudolph Dana E Goin Kriszta Farkas Christopher L Rowe Jennifer Ahern Source Type: research

Predicting Sex-Specific Non-Fatal Suicide Attempt Risk Using Machine Learning and Data from Danish National Registries
Am J Epidemiol. 2021 Apr 20:kwab112. doi: 10.1093/aje/kwab112. Online ahead of print.ABSTRACTSuicide 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 classification trees and random forests...
Source: Am J Epidemiol - April 20, 2021 Category: Epidemiology Authors: Jaimie L Gradus Anthony J Rosellini Erzs ébet Horváth-Puhó Tammy Jiang Amy E Street Isaac Galatzer-Levy Timothy L Lash Henrik T S ørensen Source Type: research

New directions in machine learning analyses of administrative data to prevent suicide-related behaviors
Am J Epidemiol. 2021 Apr 20:kwab111. doi: 10.1093/aje/kwab111. Online ahead of print.ABSTRACTThis 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 appropriate controls and time horizon...
Source: Am J Epidemiol - April 20, 2021 Category: Epidemiology Authors: Robert M Bossarte Chris J Kennedy Alex Luedtke Matthew K Nock Jordan W Smoller Cara Stokes Ronald C Kessler Source Type: research

Preventing suicide-related behaviors: on the need for cumulative scientific evidence and the potential of new methodologic directions
Am J Epidemiol. 2021 Apr 20:kwab113. doi: 10.1093/aje/kwab113. Online ahead of print.NO ABSTRACTPMID:33878158 | DOI:10.1093/aje/kwab113 (Source: Am J Epidemiol)
Source: Am J Epidemiol - April 20, 2021 Category: Epidemiology Authors: Jaimie L Gradus Timothy L Lash Anthony J Rosellini Isaac Galatzer-Levy Amy E Street Tammy Jiang Erzs ébet Horváth-Puhó Henrik Toft S ørensen Source Type: research

Re: "A New Method for Estimating the Incidence of Infectious Diseases"
Am J Epidemiol. 2021 Apr 20:kwab116. doi: 10.1093/aje/kwab116. Online ahead of print.NO ABSTRACTPMID:33878165 | DOI:10.1093/aje/kwab116 (Source: Am J Epidemiol)
Source: Am J Epidemiol - April 20, 2021 Category: Epidemiology Authors: Justin B DeMonte Michael G Hudgens Source Type: research

Sampling Strategies for Internal Validation Samples for Exposure Measurement Error Correction: a Study of Visceral Adipose Tissue Measures Replaced by Waist Circumference Measures
Am J Epidemiol. 2021 Apr 20:kwab114. doi: 10.1093/aje/kwab114. Online ahead of print.ABSTRACTStatistical correction for measurement error in epidemiologic studies is possible, provided that information about the measurement error model and its parameters are available. Such information is commonly obtained from a randomly sampled internal validation sample. It is however unknown whether randomly sampling the internal validation sample is the optimal sampling strategy. We conducted a simulation study to investigate various internal validation sampling strategies in conjunction with regression calibration. Our simulation stu...
Source: Am J Epidemiol - April 20, 2021 Category: Epidemiology Authors: Linda Nab Maarten van Smeden Ren ée de Mutsert Frits R Rosendaal Rolf H H Groenwold Source Type: research

Hypothesis Generation during Foodborne Illness Outbreak Investigations
Am J Epidemiol. 2021 Apr 20:kwab118. doi: 10.1093/aje/kwab118. Online ahead of print.ABSTRACTHypothesis generation is a critical, but challenging, step in a foodborne outbreak investigation. The pathogens that contaminate food have many diverse reservoirs, resulting in seemingly limitless potential vehicles. Identifying a vehicle is particularly challenging for clusters detected through national pathogen-specific surveillance, as cases can be geographically dispersed and lack an obvious epidemiological link. Moreover, state and local health departments may have limited resources to dedicate to cluster and outbreak investig...
Source: Am J Epidemiol - April 20, 2021 Category: Epidemiology Authors: Alice E White Kirk E Smith Hillary Booth Carlota Medus Robert V Tauxe Laura Gieraltowski Elaine Scallan Walter Source Type: research

A Survivorship-Period-Cohort Model for Cancer Survival: Application to Liver Cancer in Taiwan, 1997-2016
Am J Epidemiol. 2021 Apr 20:kwab121. doi: 10.1093/aje/kwab121. Online ahead of print.ABSTRACTMonitoring survival in cancer is a common concern for patients, physicians, and public health researchers. The traditional cohort approach for monitoring cancer prognosis has a timeliness problem. In this paper, we propose a survivorship-period-cohort (SPC) model for examining the effects of survivorship, period, and year-of-diagnosis cohort on cancer prognosis and to predict future trends in cancer survival. We used the developed SPC model to evaluate relative survival (RS) of patients with liver cancer in Taiwan (diagnosed from 1...
Source: Am J Epidemiol - April 20, 2021 Category: Epidemiology Authors: Yan-Teng Peng Fan-Tsui Meng Shih-Yung Su Chun-Ju Chiang Ya-Wen Yang Wen-Chung Lee Source Type: research

A new method for estimating the incidence of infectious diseases: Response to De Monte and Hudgens
Am J Epidemiol. 2021 Apr 20:kwab117. doi: 10.1093/aje/kwab117. Online ahead of print.NO ABSTRACTPMID:33878185 | DOI:10.1093/aje/kwab117 (Source: Am J Epidemiol)
Source: Am J Epidemiol - April 20, 2021 Category: Epidemiology Authors: Hamish McManus Rebecca J Guy Mark A Stoove Source Type: research

Predicting Sex-Specific Non-Fatal Suicide Attempt Risk Using Machine Learning and Data from Danish National Registries
Am J Epidemiol. 2021 Apr 20:kwab112. doi: 10.1093/aje/kwab112. Online ahead of print.ABSTRACTSuicide 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 classification trees and random forests...
Source: Am J Epidemiol - April 20, 2021 Category: Epidemiology Authors: Jaimie L Gradus Anthony J Rosellini Erzs ébet Horváth-Puhó Tammy Jiang Amy E Street Isaac Galatzer-Levy Timothy L Lash Henrik T S ørensen Source Type: research

New directions in machine learning analyses of administrative data to prevent suicide-related behaviors
Am J Epidemiol. 2021 Apr 20:kwab111. doi: 10.1093/aje/kwab111. Online ahead of print.ABSTRACTThis 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 appropriate controls and time horizon...
Source: Am J Epidemiol - April 20, 2021 Category: Epidemiology Authors: Robert M Bossarte Chris J Kennedy Alex Luedtke Matthew K Nock Jordan W Smoller Cara Stokes Ronald C Kessler Source Type: research

Preventing suicide-related behaviors: on the need for cumulative scientific evidence and the potential of new methodologic directions
Am J Epidemiol. 2021 Apr 20:kwab113. doi: 10.1093/aje/kwab113. Online ahead of print.NO ABSTRACTPMID:33878158 | DOI:10.1093/aje/kwab113 (Source: Am J Epidemiol)
Source: Am J Epidemiol - April 20, 2021 Category: Epidemiology Authors: Jaimie L Gradus Timothy L Lash Anthony J Rosellini Isaac Galatzer-Levy Amy E Street Tammy Jiang Erzs ébet Horváth-Puhó Henrik Toft S ørensen Source Type: research

Re: "A New Method for Estimating the Incidence of Infectious Diseases"
Am J Epidemiol. 2021 Apr 20:kwab116. doi: 10.1093/aje/kwab116. Online ahead of print.NO ABSTRACTPMID:33878165 | DOI:10.1093/aje/kwab116 (Source: Am J Epidemiol)
Source: Am J Epidemiol - April 20, 2021 Category: Epidemiology Authors: Justin B DeMonte Michael G Hudgens Source Type: research

Sampling Strategies for Internal Validation Samples for Exposure Measurement Error Correction: a Study of Visceral Adipose Tissue Measures Replaced by Waist Circumference Measures
Am J Epidemiol. 2021 Apr 20:kwab114. doi: 10.1093/aje/kwab114. Online ahead of print.ABSTRACTStatistical correction for measurement error in epidemiologic studies is possible, provided that information about the measurement error model and its parameters are available. Such information is commonly obtained from a randomly sampled internal validation sample. It is however unknown whether randomly sampling the internal validation sample is the optimal sampling strategy. We conducted a simulation study to investigate various internal validation sampling strategies in conjunction with regression calibration. Our simulation stu...
Source: Am J Epidemiol - April 20, 2021 Category: Epidemiology Authors: Linda Nab Maarten van Smeden Ren ée de Mutsert Frits R Rosendaal Rolf H H Groenwold Source Type: research

Hypothesis Generation during Foodborne Illness Outbreak Investigations
Am J Epidemiol. 2021 Apr 20:kwab118. doi: 10.1093/aje/kwab118. Online ahead of print.ABSTRACTHypothesis generation is a critical, but challenging, step in a foodborne outbreak investigation. The pathogens that contaminate food have many diverse reservoirs, resulting in seemingly limitless potential vehicles. Identifying a vehicle is particularly challenging for clusters detected through national pathogen-specific surveillance, as cases can be geographically dispersed and lack an obvious epidemiological link. Moreover, state and local health departments may have limited resources to dedicate to cluster and outbreak investig...
Source: Am J Epidemiol - April 20, 2021 Category: Epidemiology Authors: Alice E White Kirk E Smith Hillary Booth Carlota Medus Robert V Tauxe Laura Gieraltowski Elaine Scallan Walter Source Type: research

A Survivorship-Period-Cohort Model for Cancer Survival: Application to Liver Cancer in Taiwan, 1997-2016
Am J Epidemiol. 2021 Apr 20:kwab121. doi: 10.1093/aje/kwab121. Online ahead of print.ABSTRACTMonitoring survival in cancer is a common concern for patients, physicians, and public health researchers. The traditional cohort approach for monitoring cancer prognosis has a timeliness problem. In this paper, we propose a survivorship-period-cohort (SPC) model for examining the effects of survivorship, period, and year-of-diagnosis cohort on cancer prognosis and to predict future trends in cancer survival. We used the developed SPC model to evaluate relative survival (RS) of patients with liver cancer in Taiwan (diagnosed from 1...
Source: Am J Epidemiol - April 20, 2021 Category: Epidemiology Authors: Yan-Teng Peng Fan-Tsui Meng Shih-Yung Su Chun-Ju Chiang Ya-Wen Yang Wen-Chung Lee Source Type: research

A new method for estimating the incidence of infectious diseases: Response to De Monte and Hudgens
Am J Epidemiol. 2021 Apr 20:kwab117. doi: 10.1093/aje/kwab117. Online ahead of print.NO ABSTRACTPMID:33878185 | DOI:10.1093/aje/kwab117 (Source: Am J Epidemiol)
Source: Am J Epidemiol - April 20, 2021 Category: Epidemiology Authors: Hamish McManus Rebecca J Guy Mark A Stoove Source Type: research

Predicting Sex-Specific Non-Fatal Suicide Attempt Risk Using Machine Learning and Data from Danish National Registries
Am J Epidemiol. 2021 Apr 20:kwab112. doi: 10.1093/aje/kwab112. Online ahead of print.ABSTRACTSuicide 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 classification trees and random forests...
Source: Am J Epidemiol - April 20, 2021 Category: Epidemiology Authors: Jaimie L Gradus Anthony J Rosellini Erzs ébet Horváth-Puhó Tammy Jiang Amy E Street Isaac Galatzer-Levy Timothy L Lash Henrik T S ørensen Source Type: research

New directions in machine learning analyses of administrative data to prevent suicide-related behaviors
Am J Epidemiol. 2021 Apr 20:kwab111. doi: 10.1093/aje/kwab111. Online ahead of print.ABSTRACTThis 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 appropriate controls and time horizon...
Source: Am J Epidemiol - April 20, 2021 Category: Epidemiology Authors: Robert M Bossarte Chris J Kennedy Alex Luedtke Matthew K Nock Jordan W Smoller Cara Stokes Ronald C Kessler Source Type: research

Preventing suicide-related behaviors: on the need for cumulative scientific evidence and the potential of new methodologic directions
Am J Epidemiol. 2021 Apr 20:kwab113. doi: 10.1093/aje/kwab113. Online ahead of print.NO ABSTRACTPMID:33878158 | DOI:10.1093/aje/kwab113 (Source: Am J Epidemiol)
Source: Am J Epidemiol - April 20, 2021 Category: Epidemiology Authors: Jaimie L Gradus Timothy L Lash Anthony J Rosellini Isaac Galatzer-Levy Amy E Street Tammy Jiang Erzs ébet Horváth-Puhó Henrik Toft S ørensen Source Type: research

Re: "A New Method for Estimating the Incidence of Infectious Diseases"
Am J Epidemiol. 2021 Apr 20:kwab116. doi: 10.1093/aje/kwab116. Online ahead of print.NO ABSTRACTPMID:33878165 | DOI:10.1093/aje/kwab116 (Source: Am J Epidemiol)
Source: Am J Epidemiol - April 20, 2021 Category: Epidemiology Authors: Justin B DeMonte Michael G Hudgens Source Type: research

Sampling Strategies for Internal Validation Samples for Exposure Measurement Error Correction: a Study of Visceral Adipose Tissue Measures Replaced by Waist Circumference Measures
Am J Epidemiol. 2021 Apr 20:kwab114. doi: 10.1093/aje/kwab114. Online ahead of print.ABSTRACTStatistical correction for measurement error in epidemiologic studies is possible, provided that information about the measurement error model and its parameters are available. Such information is commonly obtained from a randomly sampled internal validation sample. It is however unknown whether randomly sampling the internal validation sample is the optimal sampling strategy. We conducted a simulation study to investigate various internal validation sampling strategies in conjunction with regression calibration. Our simulation stu...
Source: Am J Epidemiol - April 20, 2021 Category: Epidemiology Authors: Linda Nab Maarten van Smeden Ren ée de Mutsert Frits R Rosendaal Rolf H H Groenwold Source Type: research

Hypothesis Generation during Foodborne Illness Outbreak Investigations
Am J Epidemiol. 2021 Apr 20:kwab118. doi: 10.1093/aje/kwab118. Online ahead of print.ABSTRACTHypothesis generation is a critical, but challenging, step in a foodborne outbreak investigation. The pathogens that contaminate food have many diverse reservoirs, resulting in seemingly limitless potential vehicles. Identifying a vehicle is particularly challenging for clusters detected through national pathogen-specific surveillance, as cases can be geographically dispersed and lack an obvious epidemiological link. Moreover, state and local health departments may have limited resources to dedicate to cluster and outbreak investig...
Source: Am J Epidemiol - April 20, 2021 Category: Epidemiology Authors: Alice E White Kirk E Smith Hillary Booth Carlota Medus Robert V Tauxe Laura Gieraltowski Elaine Scallan Walter Source Type: research

A Survivorship-Period-Cohort Model for Cancer Survival: Application to Liver Cancer in Taiwan, 1997-2016
Am J Epidemiol. 2021 Apr 20:kwab121. doi: 10.1093/aje/kwab121. Online ahead of print.ABSTRACTMonitoring survival in cancer is a common concern for patients, physicians, and public health researchers. The traditional cohort approach for monitoring cancer prognosis has a timeliness problem. In this paper, we propose a survivorship-period-cohort (SPC) model for examining the effects of survivorship, period, and year-of-diagnosis cohort on cancer prognosis and to predict future trends in cancer survival. We used the developed SPC model to evaluate relative survival (RS) of patients with liver cancer in Taiwan (diagnosed from 1...
Source: Am J Epidemiol - April 20, 2021 Category: Epidemiology Authors: Yan-Teng Peng Fan-Tsui Meng Shih-Yung Su Chun-Ju Chiang Ya-Wen Yang Wen-Chung Lee Source Type: research