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Obesity is a global epidemic causing at least 2.8 million deaths per year. This complex disease is associated with significant socioeconomic burden, reduced work productivity, unemployment, and other social determinants of Health (SDoH)…

Machine Learning · Computer Science 2022-08-11 Whitney S Brakefield , Olufunto A Olusanya , Arash Shaban-Nejad

With the rapid development of wearable device technologies, accelerometers can record minute-by-minute physical activity for consecutive days, which provides important insight into a dynamic association between the intensity of physical…

Methodology · Statistics 2024-09-06 Cheng Cao , Jiguo Cao , Hao Pan , Yunting Zhang , Fan Jiang , Xinyue Li

Item Response Theory (IRT) and Factor Analysis (FA) are two major frameworks used to model multi-item measurements of latent traits. While the relationship between two-parameter IRT models and dichotomized FA models is well established, IRT…

Methodology · Statistics 2025-07-03 Ján Pavlech , Patrícia Martinková

Reproduction data collected through standard bioassays are classically analyzed by regression in order to fit exposure-response curves and estimate ECx values (x% Effective Concentration). But regression is often misused on such data,…

Elastography provides significant information on staging of fibrosis in patients with liver disease and may be of some value in assessing steatosis. However, there remain questions as to the role of steatosis and fibrosis as cofactors…

Medical Physics · Physics 2020-09-16 Sedigheh S. Poul , Kevin J. Parker

Metabolic Syndrome (MetS) is a serious condition that can be an early warning sign of heart disease and Type 2 diabetes. MetS is characterized by having elevated levels of blood pressure, cholesterol, waist circumference, and fasting…

Applications · Statistics 2023-08-14 Daniel Ries , Alicia Carriquiry

Long-term behavioral and health risk factors constitute a primary focus of research on the etiology of chronic diseases. Yet, identifying critical time-windows during which risk factors have the strongest impact on disease risk is…

We conducted this study to determine whether fallopian tube anatomy can predict the likelihood of pregnancy and pregnancy outcomes after tubal sterilization reversal. We built a flexible, non-parametric, multivariate model via generalized…

Tissues and Organs · Quantitative Biology 2021-08-10 Rafael S. de Souza , Gary S. Berger

Malaria, childhood acute respiratory infection, and child undernutrition together account for over two million deaths annually in children under five, with the burden concentrated in low and middle-income countries where climate variability…

Applications · Statistics 2026-05-13 Usman Nazir , I-Han Cheng , Sara Khalid

Maternal sensitivity is a modifiable determinant of infant attachment security and a precursor to optimal child development. Contextual stressors undermine sensitivity, but research was yet to be synthesized. We aimed to identify i) types…

Applications · Statistics 2019-08-28 Anna Tudehope Booth , Jacqui Macdonald , George Youssef

Environmental health studies are increasingly measuring endogenous omics data ($\boldsymbol{M}$) to study intermediary biological pathways by which an exogenous exposure ($\boldsymbol{A}$) affects a health outcome ($\boldsymbol{Y}$), given…

Functional factor analysis is an important dimension reduction method for functional and longitudinal data. Factor loadings give insight into patterns of variability of the observations, while latent factors provide a low-dimensional…

Methodology · Statistics 2026-04-29 James Matuk , Amy H. Herring , David B. Dunson

We propose a multi-metric flexible Bayesian framework to support efficient interim decision-making in multi-arm multi-stage phase II clinical trials. Multi-arm multi-stage phase II studies increase the efficiency of drug development, but…

Applications · Statistics 2023-12-15 Suzanne M. Dufault , Angela M. Crook , Katie Rolfe , Patrick P. J. Phillips

Purpose: To develop a fat-water separation approach that corrects bipolar readout gradient induced effects, without additional scans, that is compatible with any fat-water separation method. Theory and Methods: The proposed approach…

Medical Physics · Physics 2025-05-20 Jorge Campos Pazmino , Renée-Claude Bider , Véronique Fortier , Ives R. Levesque

This study investigates fall risk prediction in older adults using various machine learning models trained on accelerometric, non-accelerometric, and combined data from 146 participants. Models combining both data types achieved superior…

Due to an alarming trend related to obesity affecting 93.3 million adults in the United States alone, body mass index (BMI) and body weight have drawn significant interest in various health monitoring applications. Consequently, several…

Computer Vision and Pattern Recognition · Computer Science 2023-12-01 Parshuram N. Aarotale , Twyla Hill , Ajita Rattani

We predict the Fried physical frailty phenotype health deficits (FPFP5: slow gait, weakness, weight loss, low activity, and exhaustion) using two measures of frailty: frailty index (FI) or frailty phenotype (FP). The FP theorizes that the…

Quantitative Methods · Quantitative Biology 2025-01-07 Glen Pridham , Kenneth Rockwood , Andrew Rutenberg

Environmental and individualistic variables affect the rate of human decomposition in complex ways. These effects complicate the estimation of the postmortem interval (PMI) based on observed decomposition characteristics. In this work, we…

Machine Learning · Computer Science 2024-11-18 D. Hudson Smith , Noah Nisbet , Carl Ehrett , Cristina I. Tica , Madeline M. Atwell , Katherine E. Weisensee

There is interest in learning about the causal effect of family planning (FP) on empowerment related outcomes. Experimental data related to this question are available from trials in which FP programs increase access to FP. While program…

Methodology · Statistics 2026-03-31 Lucas Godoy Garraza , Ilene Speizer , Leontine Alkema

Low physical activity is a known risk factor for major depressive disorder (MDD), but changes in activity before a first clinical diagnosis remain unclear, especially using long-term objective measurements. This study characterized…

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