Subgroup identification with classification and regression tree-based algorithms: an application to the ball state adult fitness longitudinal study

DOI10.1007/S40840-022-01328-7zbMath1496.62194OpenAlexW4281617720WikidataQ114218409 ScholiaQ114218409MaRDI QIDQ2089390

Mitchell Whaley, James Peterman, W. Holmes Finch, Matthew P. Harber, Leonard Kaminsky, Md Yasin Ali Parh, Mst Sharmin Akter Sumy, Bradley S. Fleenor, Munni Begum

Publication date: 6 October 2022

Published in: Bulletin of the Malaysian Mathematical Sciences Society. Second Series (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s40840-022-01328-7

zbMATH Keywords

all-cause mortalitycardiorespiratory fitness (CRF)GUIDE algorithmssubgroup identificationvirtual twins classification

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to biology and medical sciences; meta analysis (62P10) Reliability and life testing (62N05)

Cites Work

• Improving the precision of classification trees
• An Introduction to Categorical Data Analysis
• An Introduction to Statistical Learning
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