| LDR | | 02317nmm uu200409 4500 |
| 001 | | 000000332444 |
| 005 | | 20240805170812 |
| 008 | | 181129s2018 |||||||||||||||||c||eng d |
| 020 | |
▼a 9780438034242 |
| 035 | |
▼a (MiAaPQ)AAI10786439 |
| 035 | |
▼a (MiAaPQ)unc:17589 |
| 040 | |
▼a MiAaPQ
▼c MiAaPQ
▼d 248032 |
| 082 | 0 |
▼a 310 |
| 100 | 1 |
▼a Cui, Yifan. |
| 245 | 10 |
▼a Tree-based Survival Models and Precision Medicine. |
| 260 | |
▼a [S.l.] :
▼b The University of North Carolina at Chapel Hill.,
▼c 2018 |
| 260 | 1 |
▼a Ann Arbor :
▼b ProQuest Dissertations & Theses,
▼c 2018 |
| 300 | |
▼a 124 p. |
| 500 | |
▼a Source: Dissertation Abstracts International, Volume: 79-10(E), Section: B. |
| 500 | |
▼a Advisers: Michael Rene Kosorok |
| 502 | 1 |
▼a Thesis (Ph.D.)--The University of North Carolina at Chapel Hill, 2018. |
| 520 | |
▼a Random forests have become one of the most popular machine learning tools in recent years. The main advantage of tree- and forest-based models is their nonparametric nature. My dissertation mainly focuses on a particular type of tree and forest |
| 520 | |
▼a We first carry out a comprehensive analysis of survival random forest and tree models and show the consistency of these popular machine learning models by developing a general theoretical framework. Our results significantly improve the current |
| 520 | |
▼a In the second part, motivated by tree-based survival models, we propose a fiducial approach to provide pointwise and curvewise confidence intervals for the survival functions. On each terminal node, the estimation is essentially a small sample a |
| 520 | |
▼a In the third topic, we show one application of tree-based survival models in precision medicine. We extend the outcome weighted learning to right censored survival data without requiring either inverse probability of censoring weighting or semi- |
| 590 | |
▼a School code: 0153. |
| 650 | 4 |
▼a Statistics. |
| 690 | |
▼a 0463 |
| 710 | 20 |
▼a The University of North Carolina at Chapel Hill.
▼b Statistics and Operations Research. |
| 773 | 0 |
▼t Dissertation Abstracts International
▼g 79-10B(E). |
| 773 | |
▼t Dissertation Abstract International |
| 790 | |
▼a 0153 |
| 791 | |
▼a Ph.D. |
| 792 | |
▼a 2018 |
| 793 | |
▼a English |
| 856 | 40 |
▼u http://www.riss.kr/pdu/ddodLink.do?id=T14997352
▼n KERIS |
| 980 | |
▼a 201812
▼f 2019 |
| 990 | |
▼a 관리자 |