LDR | | 02037nmm uu200397 4500 |
001 | | 000000333587 |
005 | | 20240805173321 |
008 | | 181129s2018 |||||||||||||||||c||eng d |
020 | |
▼a 9780438033740 |
035 | |
▼a (MiAaPQ)AAI10750416 |
035 | |
▼a (MiAaPQ)unc:17540 |
040 | |
▼a MiAaPQ
▼c MiAaPQ
▼d 248032 |
082 | 0 |
▼a 574 |
100 | 1 |
▼a Maitra, Poulami. |
245 | 10 |
▼a Statistical Methods for Data from Case-Cohort Studies. |
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 177 p. |
500 | |
▼a Source: Dissertation Abstracts International, Volume: 79-10(E), Section: B. |
500 | |
▼a Adviser: Jianwen Cai. |
502 | 1 |
▼a Thesis (Ph.D.)--The University of North Carolina at Chapel Hill, 2018. |
520 | |
▼a In epidemiological studies and disease prevention trials, interest often lies in the relationship between certain disease endpoint and some exposure of interest. When the event is rare and/or some of the covariate information are quite expensive |
520 | |
▼a Many methods for the analysis of data from case-cohort studies have been proposed in the literature. However, most of these methods are for either a single event or multitude of events of different types on the same subject. There has not been m |
520 | |
▼a In the third topic, we address another aspect of the case-cohort design. All the previous work in the literature concern sample size and power calculation in case-cohort data for a dichotomized main effect. However, in certain situations, one mi |
590 | |
▼a School code: 0153. |
650 | 4 |
▼a Biostatistics. |
690 | |
▼a 0308 |
710 | 20 |
▼a The University of North Carolina at Chapel Hill.
▼b Biostatistics. |
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=T14997101
▼n KERIS |
980 | |
▼a 201812
▼f 2019 |
990 | |
▼a 관리자 |