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Statistical and Machine Learning Approaches for Family History Data
Statistical and Machine Learning Approaches for Family History Data
- 자료유형
- 학위논문
- Control Number
- 0015762396
- International Standard Book Number
- 9798684610325
- Dewey Decimal Classification Number
- 310
- Main Entry-Personal Name
- Huang, Theodore.
- Publication, Distribution, etc. (Imprint
- [Sl] : Harvard University, 2019
- Publication, Distribution, etc. (Imprint
- Ann Arbor : ProQuest Dissertations & Theses, 2019
- Physical Description
- 118 p
- General Note
- Source: Dissertations Abstracts International, Volume: 82-05, Section: B.
- General Note
- Advisor: Parmigiani, Giovanni.
- Dissertation Note
- Thesis (Ph.D.)--Harvard University, 2019.
- Restrictions on Access Note
- This item must not be sold to any third party vendors.
- Subject Added Entry-Topical Term
- Statistics
- Index Term-Uncontrolled
- Risk prediction
- Index Term-Uncontrolled
- Mendelian model
- Index Term-Uncontrolled
- Family history
- Index Term-Uncontrolled
- Frailty model
- Index Term-Uncontrolled
- Gradient boosting
- Index Term-Uncontrolled
- Risk heterogeneity
- Added Entry-Corporate Name
- Harvard University Biostatistics
- Host Item Entry
- Dissertations Abstracts International. 82-05B.
- Host Item Entry
- Dissertation Abstract International
- Electronic Location and Access
- 로그인을 한후 보실 수 있는 자료입니다.
- Control Number
- joongbu:593364