A model‐based approach for clustering of multivariate semicontinuous data with application to dietary pattern analysis and intervention-Reference-Cited by-同舟云学术

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A model‐based approach for clustering of multivariate semicontinuous data with application to dietary pattern analysis and intervention

Published:2019-11-08 Issue:1 Volume:39 Page:16-25
ISSN:0277-6715
Container-title:Statistics in Medicine
language:en
Short-container-title:Statistics in Medicine

Author:

Jiang Tao¹,Lu Yahui¹,Duan Huimin¹,Zhang Wei²,Liu Aiyi²^ORCID

Affiliation:

1. School of Statistics and MathematicsZhejiang Gongshang University Hangzhou China

2. Biostatistics and Bioinformatics BranchEunice Kennedy Shriver National Institute of Child Health and Human Development Bethesda Maryland

Funder

National Natural Science Foundation of China-Yunnan Joint Fund

Publisher

Wiley

Subject

Statistics and Probability,Epidemiology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/sim.8391

Reference35 articles.

1. Food Consumption and Nutrient Intake by Children Aged 10 to 48 Months Attending Day Care in The Netherlands

2. Mixture Analysis of Heterogeneous Physical Activity Outcomes

3. Modeling Semicontinuous Longitudinal Expenditures: A Practical Guide

4. Bias in 2-part mixed models for longitudinal semicontinuous data

5. Joint modeling longitudinal semi-continuous data and survival, with application to longitudinal medical cost data

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1. Parental cardiorespiratory conditions and offspring fracture: A population-based familial linkage study;Bone;2020-10

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