Omics feature selection with the extended SIS R package: identification of a body mass index epigenetic multi-marker in the Strong Heart Study
Am J Epidemiol. 2024 Feb 20:kwae006. doi: 10.1093/aje/kwae006. Online ahead of print.ABSTRACTThe statistical analysis of omics data poses a great computational challenge given its ultra-high dimensional nature and frequent between-features correlation. In this work, we extended the Iterative Sure Independence Screening (ISIS) algorithm by pairing ISIS with elastic-net (Enet) and two versions of adaptive Enet (AEnet and MSAEnet) to efficiently improve feature selection and effect estimation in omics research. We subsequently used genome-wide human blood DNA methylation data from American Indians of the Strong Heart Study (N...
Source: Am J Epidemiol - February 20, 2024 Category: Epidemiology Authors: Arce Domingo-Relloso Yang Feng Zulema Rodriguez-Hernandez Karin Haack Shelley A Cole Ana Navas-Acien Maria Tellez-Plaza Jose D Bermudez Source Type: research
Month-to-month all-cause mortality forecasting: A method allowing for changes in seasonal patterns
In this study, we propose a flexible method to forecast all-cause mortality in real-time considering short-term changes in seasonal patterns within an epidemiological year. All-cause mortality data has the advantage of being available with less delay than cause-specific mortality data. We use all-cause monthly death counts from national statistical offices for Denmark, France, Spain, and Sweden from seasons 2012/13 through 2021/22 to demonstrate the performance of the proposed approach. The method forecasts the deaths one-month-ahead, based on their expected ratio to the next month. Prediction intervals are obtained via bo...
Source: Am J Epidemiol - February 12, 2024 Category: Epidemiology Authors: Ainhoa-Elena L éger Rizzi Silvia Source Type: research
Month-to-month all-cause mortality forecasting: A method allowing for changes in seasonal patterns
In this study, we propose a flexible method to forecast all-cause mortality in real-time considering short-term changes in seasonal patterns within an epidemiological year. All-cause mortality data has the advantage of being available with less delay than cause-specific mortality data. We use all-cause monthly death counts from national statistical offices for Denmark, France, Spain, and Sweden from seasons 2012/13 through 2021/22 to demonstrate the performance of the proposed approach. The method forecasts the deaths one-month-ahead, based on their expected ratio to the next month. Prediction intervals are obtained via bo...
Source: Am J Epidemiol - February 12, 2024 Category: Epidemiology Authors: Ainhoa-Elena L éger Rizzi Silvia Source Type: research
Month-to-month all-cause mortality forecasting: A method allowing for changes in seasonal patterns
In this study, we propose a flexible method to forecast all-cause mortality in real-time considering short-term changes in seasonal patterns within an epidemiological year. All-cause mortality data has the advantage of being available with less delay than cause-specific mortality data. We use all-cause monthly death counts from national statistical offices for Denmark, France, Spain, and Sweden from seasons 2012/13 through 2021/22 to demonstrate the performance of the proposed approach. The method forecasts the deaths one-month-ahead, based on their expected ratio to the next month. Prediction intervals are obtained via bo...
Source: Am J Epidemiol - February 12, 2024 Category: Epidemiology Authors: Ainhoa-Elena L éger Rizzi Silvia Source Type: research
Month-to-month all-cause mortality forecasting: A method allowing for changes in seasonal patterns
In this study, we propose a flexible method to forecast all-cause mortality in real-time considering short-term changes in seasonal patterns within an epidemiological year. All-cause mortality data has the advantage of being available with less delay than cause-specific mortality data. We use all-cause monthly death counts from national statistical offices for Denmark, France, Spain, and Sweden from seasons 2012/13 through 2021/22 to demonstrate the performance of the proposed approach. The method forecasts the deaths one-month-ahead, based on their expected ratio to the next month. Prediction intervals are obtained via bo...
Source: Am J Epidemiol - February 12, 2024 Category: Epidemiology Authors: Ainhoa-Elena L éger Rizzi Silvia Source Type: research
Exercise to socialize? Bidirectional relationships between physical activity and loneliness in middle-aged and older American adults
Am J Epidemiol. 2024 Feb 6:kwae001. doi: 10.1093/aje/kwae001. Online ahead of print.ABSTRACTPhysical inactivity and loneliness are both associated with health risks and can affect each other through various social and behavioral mechanisms. However, current evidence on this relationship is equivocal and mostly based on cross-sectional data. This longitudinal study aims to determine whether current levels of physical activity (moderate- and vigorous-intensity) and loneliness are associated with future respective states of themselves and each other. Data from waves 6-14 (2002-2018) of the Health and Retirement Study were use...
Source: Am J Epidemiol - February 6, 2024 Category: Epidemiology Authors: D L Surkalim P J Clare R Eres K Gebel A E Bauman D Ding Source Type: research
Harnessing Causal Forests for Epidemiologic Research: Key Consideration
Am J Epidemiol. 2024 Feb 6:kwae003. doi: 10.1093/aje/kwae003. Online ahead of print.ABSTRACTAssessing heterogeneous treatment effects (HTEs) is an essential task in epidemiology. The recent integration of machine learning into causal inference has provided a new, flexible tool for evaluating complex HTEs: causal forest. Jawadekar et al. (Am J Epidemiol. 2023) introduce this innovative approach and offer practical guidelines for applied users. Building on their work, this commentary provides additional insights and guidance to promote the understanding and application of causal forest in epidemiologic research. We start wit...
Source: Am J Epidemiol - February 6, 2024 Category: Epidemiology Authors: Koichiro Shiba Kosuke Inoue Source Type: research
Why test for proportional hazards - or any other model assumptions?
Am J Epidemiol. 2024 Feb 6:kwae002. doi: 10.1093/aje/kwae002. Online ahead of print.NO ABSTRACTPMID:38319720 | DOI:10.1093/aje/kwae002 (Source: Am J Epidemiol)
Source: Am J Epidemiol - February 6, 2024 Category: Epidemiology Authors: Arvid Sj ölander Paul Dickman Source Type: research
The World Was Their Laboratory: How Two Pioneer Scientist-Administrators,James Watt and Zdenek Fejfar, Advanced Methods and International Collaboration in Cardiovascular Disease Epidemiology During the Cold War
Am J Epidemiol. 2023 Dec 23:kwad246. doi: 10.1093/aje/kwad246. Online ahead of print.ABSTRACTIn 1952, James Watt, a young U.S. Public Health Service (USPHS) infectious disease epidemiologist, was appointed--amid wide surprise--director of the U.S. National Heart Institute (NHI) where he served until 1961. He skillfully advanced epidemiological research methods and study conduct nationally while also establishing epidemiology in the administrative heirarchy of the institute. Watt soon turned to development of an effective program in international cardiovascular disease (CVD) epidemiology under auspices of the World Health O...
Source: Am J Epidemiol - December 26, 2023 Category: Epidemiology Authors: Henry Blackburn Gerald Oppenheimer Source Type: research
The World Was Their Laboratory: How Two Pioneer Scientist-Administrators,James Watt and Zdenek Fejfar, Advanced Methods and International Collaboration in Cardiovascular Disease Epidemiology During the Cold War
Am J Epidemiol. 2023 Dec 23:kwad246. doi: 10.1093/aje/kwad246. Online ahead of print.ABSTRACTIn 1952, James Watt, a young U.S. Public Health Service (USPHS) infectious disease epidemiologist, was appointed--amid wide surprise--director of the U.S. National Heart Institute (NHI) where he served until 1961. He skillfully advanced epidemiological research methods and study conduct nationally while also establishing epidemiology in the administrative heirarchy of the institute. Watt soon turned to development of an effective program in international cardiovascular disease (CVD) epidemiology under auspices of the World Health O...
Source: Am J Epidemiol - December 26, 2023 Category: Epidemiology Authors: Henry Blackburn Gerald Oppenheimer Source Type: research
The World Was Their Laboratory: How Two Pioneer Scientist-Administrators,James Watt and Zdenek Fejfar, Advanced Methods and International Collaboration in Cardiovascular Disease Epidemiology During the Cold War
Am J Epidemiol. 2023 Dec 23:kwad246. doi: 10.1093/aje/kwad246. Online ahead of print.ABSTRACTIn 1952, James Watt, a young U.S. Public Health Service (USPHS) infectious disease epidemiologist, was appointed--amid wide surprise--director of the U.S. National Heart Institute (NHI) where he served until 1961. He skillfully advanced epidemiological research methods and study conduct nationally while also establishing epidemiology in the administrative heirarchy of the institute. Watt soon turned to development of an effective program in international cardiovascular disease (CVD) epidemiology under auspices of the World Health O...
Source: Am J Epidemiol - December 26, 2023 Category: Epidemiology Authors: Henry Blackburn Gerald Oppenheimer Source Type: research
The World Was Their Laboratory: How Two Pioneer Scientist-Administrators,James Watt and Zdenek Fejfar, Advanced Methods and International Collaboration in Cardiovascular Disease Epidemiology During the Cold War
Am J Epidemiol. 2023 Dec 23:kwad246. doi: 10.1093/aje/kwad246. Online ahead of print.ABSTRACTIn 1952, James Watt, a young U.S. Public Health Service (USPHS) infectious disease epidemiologist, was appointed--amid wide surprise--director of the U.S. National Heart Institute (NHI) where he served until 1961. He skillfully advanced epidemiological research methods and study conduct nationally while also establishing epidemiology in the administrative heirarchy of the institute. Watt soon turned to development of an effective program in international cardiovascular disease (CVD) epidemiology under auspices of the World Health O...
Source: Am J Epidemiol - December 26, 2023 Category: Epidemiology Authors: Henry Blackburn Gerald Oppenheimer Source Type: research
The World Was Their Laboratory: How Two Pioneer Scientist-Administrators,James Watt and Zdenek Fejfar, Advanced Methods and International Collaboration in Cardiovascular Disease Epidemiology During the Cold War
Am J Epidemiol. 2023 Dec 23:kwad246. doi: 10.1093/aje/kwad246. Online ahead of print.ABSTRACTIn 1952, James Watt, a young U.S. Public Health Service (USPHS) infectious disease epidemiologist, was appointed--amid wide surprise--director of the U.S. National Heart Institute (NHI) where he served until 1961. He skillfully advanced epidemiological research methods and study conduct nationally while also establishing epidemiology in the administrative heirarchy of the institute. Watt soon turned to development of an effective program in international cardiovascular disease (CVD) epidemiology under auspices of the World Health O...
Source: Am J Epidemiol - December 26, 2023 Category: Epidemiology Authors: Henry Blackburn Gerald Oppenheimer Source Type: research
The World Was Their Laboratory: How Two Pioneer Scientist-Administrators,James Watt and Zdenek Fejfar, Advanced Methods and International Collaboration in Cardiovascular Disease Epidemiology During the Cold War
Am J Epidemiol. 2023 Dec 23:kwad246. doi: 10.1093/aje/kwad246. Online ahead of print.ABSTRACTIn 1952, James Watt, a young U.S. Public Health Service (USPHS) infectious disease epidemiologist, was appointed--amid wide surprise--director of the U.S. National Heart Institute (NHI) where he served until 1961. He skillfully advanced epidemiological research methods and study conduct nationally while also establishing epidemiology in the administrative heirarchy of the institute. Watt soon turned to development of an effective program in international cardiovascular disease (CVD) epidemiology under auspices of the World Health O...
Source: Am J Epidemiol - December 26, 2023 Category: Epidemiology Authors: Henry Blackburn Gerald Oppenheimer Source Type: research
The World Was Their Laboratory: How Two Pioneer Scientist-Administrators,James Watt and Zdenek Fejfar, Advanced Methods and International Collaboration in Cardiovascular Disease Epidemiology During the Cold War
Am J Epidemiol. 2023 Dec 23:kwad246. doi: 10.1093/aje/kwad246. Online ahead of print.ABSTRACTIn 1952, James Watt, a young U.S. Public Health Service (USPHS) infectious disease epidemiologist, was appointed--amid wide surprise--director of the U.S. National Heart Institute (NHI) where he served until 1961. He skillfully advanced epidemiological research methods and study conduct nationally while also establishing epidemiology in the administrative heirarchy of the institute. Watt soon turned to development of an effective program in international cardiovascular disease (CVD) epidemiology under auspices of the World Health O...
Source: Am J Epidemiol - December 26, 2023 Category: Epidemiology Authors: Henry Blackburn Gerald Oppenheimer Source Type: research
