Modeling physical activity data using L 0 ‐penalized expectile regression-Reference-Cited by-同舟云学术

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Modeling physical activity data using L 0 ‐penalized expectile regression

Published:2019-06-06 Issue:6 Volume:61 Page:1371-1384
ISSN:0323-3847
Container-title:Biometrical Journal
language:en
Short-container-title:Biometrical Journal

Author:

Wirsik Norman¹^ORCID,Otto‐Sobotka Fabian²^ORCID,Pigeot Iris¹³^ORCID

Affiliation:

1. Department of Biometry and Data ManagementLeibniz Institute for Prevention Research and Epidemiology ‐ BIPSBremen Germany

2. School of Medicine and Health SciencesCarl von Ossietzky University OldenburgOldenburg Germany

3. Faculty of Mathematics and Computer ScienceUniversity of BremenBremen Germany

Funder

Deutsche Forschungsgemeinschaft

Publisher

Wiley

Subject

Statistics, Probability and Uncertainty,General Medicine,Statistics and Probability

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/bimj.201800007

Reference29 articles.

1. Advancing the understanding of physical activity and cardiovascular risk factors in children: the European Youth Heart Study (EYHS)

2. Effects of Varying Epoch Lengths, Wear Time Algorithms, and Activity Cut-Points on Estimates of Child Sedentary Behavior and Physical Activity from Accelerometer Data

3. A Perfect Smoother

4. Quantile regression for longitudinal data based on latent Markov subject-specific parameters

5. Identifying Risk Factors for Severe Childhood Malnutrition by Boosting Additive Quantile Regression

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Inference for high-dimensional linear expectile regression with de-biasing method;Computational Statistics & Data Analysis;2024-10

2. High-dimensional expectile regression incorporating graphical structure among predictors;Journal of Statistical Computation and Simulation;2022-07-21

3. An elastic-net penalized expectile regression with applications;Journal of Applied Statistics;2020-06-30

4. Urban Moveability and physical activity in children: longitudinal results from the IDEFICS and I.Family cohort;International Journal of Behavioral Nutrition and Physical Activity;2019-12

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