Data for: Improving Prediction of Eating-Related Behavioral Outcomes with Zero-Sensitive Regression Models
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Data Simulations
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2024-01-23
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Predictors of consuming soft, semi-solid or solid food (SSS) the day and night before the interview among infants 6–11 months in Boucle du Mouhoun N = 1,115.
Predictors of consuming soft, semi-solid or solid food (SSS) the day and night before the interview among infants 6–11 months in Boucle du Mouhoun N = 1,115.
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Machine learning (ML) algorithms may help better understand the complex interactions among factors that influence dietary choices and behaviors. The aim of this study was to explore whether ML algorit
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Repeated measures regression models predicting consumption of palatable food (g).
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Skin colour predicts fruit and vegetable intake in young Caucasian men: A cross-sectional study
Skin colour predicts fruit and vegetable intake in young Caucasian men: A cross-sectional study
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Replication Package for: Prediction of Diet Adherence Among Young Adults: A Cross-Cultural Study in Iraq and Poland
This repository contains the dataset and documentation supporting the manuscript: Prediction of Diet Adherence Among Young Adults: A Cross-Cultural Study in Iraq and Poland Repository Structure & F
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