자료유형  

 학위논문

Control Number  

0017162676

International Standard Book Number  

9798384093374

Dewey Decimal Classification Number  

574

Main Entry-Personal Name  

Liu, Lu.

Publication, Distribution, etc. (Imprint  

[S.l.] : Duke University., 2024

Publication, Distribution, etc. (Imprint  

Ann Arbor : ProQuest Dissertations & Theses, 2024

Physical Description  

89 p.

General Note  

Source: Dissertations Abstracts International, Volume: 86-03, Section: A.

General Note  

Advisor: Jung, Sin-Ho.

Dissertation Note  

Thesis (Ph.D.)--Duke University, 2024.

Summary, Etc.  

요약The big data tendency influences how people think and inspires potential research directions. Recent feats of machine learning have seized collective attention because of its profound performance in conducting big data analysis including text analysis and image processing. Machine learning is also a popular topic in clinical medicine to implement analysis on electronic health records and medical image data, which traditional statistics model is not adequate for. However, we realize that machine learning is not panacea and its defects such as loss of interpretability and excess selection may restrict its application. And we must also recognize that for many clinical prediction analyses, the simpler approach-generalized linear model is enough for what we need. In this dissertation, we propose to use standard regression methods, without any penalizing approach, combined with a stepwise variable selection procedure to overcome the over-selection issue of popular machine learning methods. For model validation, we propose a permutation approach to estimate the performance of various validation methods. Finally, we propose a repeated sieving approach, extending the standard regression methods with stepwise variable selection, to handle high dimensional modeling.

Subject Added Entry-Topical Term  

Biostatistics.

Subject Added Entry-Topical Term  

Statistics.

Subject Added Entry-Topical Term  

Bioinformatics.

Subject Added Entry-Topical Term  

Information science.

Index Term-Uncontrolled  

Logistic regression

Index Term-Uncontrolled  

Machine learning

Index Term-Uncontrolled  

Permutation approach

Index Term-Uncontrolled  

Variable selection

Index Term-Uncontrolled  

Validation methods

Added Entry-Corporate Name  

Duke University Biostatistics and Bioinformatics Doctor of Philosophy

Host Item Entry  

Dissertations Abstracts International. 86-03A.

Electronic Location and Access  

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Control Number  

joongbu:658171