| LDR | | 00000nmm u2200205 4500 |
| 001 | | 000000330966 |
| 005 | | 20241106174528 |
| 008 | | 181129s2018 ||| | | | eng d |
| 020 | |
▼a 9780438351325 |
| 035 | |
▼a (MiAaPQ)AAI10830513 |
| 035 | |
▼a (MiAaPQ)umn:19369 |
| 040 | |
▼a MiAaPQ
▼c MiAaPQ
▼d 248032 |
| 049 | 1 |
▼f DP |
| 082 | 0 |
▼a 310 |
| 100 | 1 |
▼a Maidman, Adam. |
| 245 | 10 |
▼a Semiparametric Quantile Regression and Applications to Healthcare Data Analysis. |
| 260 | |
▼a [S.l.] :
▼b University of Minnesota.,
▼c 2018 |
| 260 | 1 |
▼a Ann Arbor :
▼b ProQuest Dissertations & Theses,
▼c 2018 |
| 300 | |
▼a 123 p. |
| 500 | |
▼a Source: Dissertation Abstracts International, Volume: 80-01(E), Section: B. |
| 500 | |
▼a Adviser: Lan Wang. |
| 502 | 1 |
▼a Thesis (Ph.D.)--University of Minnesota, 2018. |
| 520 | |
▼a The ubiquity of healthcare data allows for complex analyses of a variety of topics ranging from healthcare cost to cognitive decline in dementia patients. Healthcare datasets are often highly skewed and heteroskedastic posing great challenges fo |
| 520 | |
▼a Motivated by the Medical Expenditure Panel Survey containing data from individuals' medical providers and employers across the United States, we propose a new semiparametric procedure for predicting whether a patient will incur high medical expe |
| 520 | |
▼a Next, we extend semiparametric quantile regression methodology to longitudinal studies with non-ignorable dropout. Dropout occurs when a patient leaves a study prior to its conclusion. Non-ignorable dropout occurs when the probability of dropout |
| 520 | |
▼a Lastly, we turn our attention to the issue of analyzing very large datasets with a large number of covariates and sample size. Penalized quantile regression is often used to simultaneously select variables and estimate effects by fitting models |
| 590 | |
▼a School code: 0130. |
| 650 | 4 |
▼a Statistics. |
| 690 | |
▼a 0463 |
| 710 | 20 |
▼a University of Minnesota.
▼b Statistics. |
| 773 | 0 |
▼t Dissertation Abstracts International
▼g 80-01B(E). |
| 773 | |
▼t Dissertation Abstract International |
| 790 | |
▼a 0130 |
| 791 | |
▼a Ph.D. |
| 792 | |
▼a 2018 |
| 793 | |
▼a English |
| 856 | 40 |
▼u http://www.riss.kr/pdu/ddodLink.do?id=T14999446
▼n KERIS |
| 980 | |
▼a 201812
▼f 2019 |
| 990 | |
▼a 관리자
▼b 관리자 |