Detecting possible persons of interest in a physical activity program using step entries: Including a web‐based application for outlier detection and decision‐making-Reference-Cited by-同舟云学术

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Detecting possible persons of interest in a physical activity program using step entries: Including a web‐based application for outlier detection and decision‐making

Published:2020-01-09 Issue:2 Volume:62 Page:414-427
ISSN:0323-3847
Container-title:Biometrical Journal
language:en
Short-container-title:Biometrical Journal

Author:

Silva S. Sandun M.¹^ORCID,Meyer Denny¹,Jayawardana Madawa¹²³

Affiliation:

1. Department of Statistics, Data Science and EpidemiologySwinburne University of TechnologyHawthorn Victoria Australia

2. Peter MacCallum Cancer CentreMelbourne Victoria Australia

3. Sir Peter MacCallum Department of OncologyThe University of MelbourneParkville Victoria Australia

Publisher

Wiley

Subject

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

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/bimj.201900008

Reference33 articles.

1. Statistics Notes: Diagnostic tests 1: sensitivity and specificity

2. LOF

3. Anomaly detection

4. Chang W. Cheng J. Allaire J. Xie Y. &McPherson J.(2018).shiny: Web Application Framework for R. URLhttps://CRAN.R‐project.org/package=shiny r package version 1.2.0.

Cited by 1 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. Self-tracking of daily physical activity using a fitness tracker and the effect of the 10,000 steps goal;German Journal of Exercise and Sport Research;2022-05-16

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