Partial Variable Selection and Its’ Applications in Biostatistics

Jingwen Gu, Ao Yuan’s and Ming T Tan
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Jingwen Gu: Department of Biostatistics, Bioinformatics and Biomathematics, Georgetown University, USA
Ao Yuan’s: Department of Biostatistics, Bioinformatics and Biomathematics, Georgetown University, USA
Ming T Tan: Department of Biostatistics, Bioinformatics and Biomathematics, Georgetown University, USA

Biostatistics and Biometrics Open Access Journal, 2018, vol. 6, issue 1, 7-12

Abstract: We propose and study a method for partial covariates selection, which only select the covariates with values fall in their effective ranges. The coefficients estimates based on the resulting data is more interpretable based on the effective covariates. This is in contrast to the existing method of variable selection, in which some variables are selected/deleted in whole.

Keywords: Biometrics Open Access Journal; Biostatistics and Biometrics; Biostatistics and Biometrics Open Access Journal; Open Access Journals; biometrics journal; biometrics articles; biometrics journal reference; biometrics journal impact factor; biometrics and biostatistics journal impact factor; journal of biometrics; open access juniper publishers; juniper publishers reivew (search for similar items in EconPapers)
Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:adp:jbboaj:v:6:y:2018:i:1:p:7-12

DOI: 10.19080/BBOAJ.2018.06.555678

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