Person-specific and Pooled Prediction Models for Binge eating, Alcohol Use and Binge Drinking in Bulimia Nervosa and Alcohol Use Disorder: An Experience Sampling Method Study.
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资源简介:
Dataset and scripts used for the manuscript called 'Person-specific and Pooled Prediction Models for Binge eating, Alcohol Use and Binge Drinking in Bulimia Nervosa and Alcohol Use Disorder: An Experience Sampling Method Study.'
The dataset was gathered with the use of the experience sampling method and contains data concerning the mood, behavior, and context of patients with bulimia nervosa and/or an alcohol use disorder in daily life.
The scripts construct an elastic net regularised regression model with nested-cross validation on a person-specific and on a pooled level.
本数据集及配套脚本对应题为《针对神经性贪食症与酒精使用障碍患者的暴食、酒精使用及狂饮问题的个体特异性与合并预测模型:一项经验抽样法(Experience Sampling Method)研究》的学术论文。
本数据集采用经验抽样法采集,涵盖神经性贪食症患者及/或酒精使用障碍患者在日常生活中的情绪、行为与情境相关数据。
配套脚本可构建弹性网络正则化回归模型(elastic net regularised regression model),并分别在个体特异性层面与群体合并层面实施嵌套交叉验证(nested-cross validation)。
提供机构:
KU Leuven RDR
创建时间:
2023-04-27



