MARC보기
LDR02037nmm uu200397 4500
001000000333587
00520240805173321
008181129s2018 |||||||||||||||||c||eng d
020 ▼a 9780438033740
035 ▼a (MiAaPQ)AAI10750416
035 ▼a (MiAaPQ)unc:17540
040 ▼a MiAaPQ ▼c MiAaPQ ▼d 248032
0820 ▼a 574
1001 ▼a Maitra, Poulami.
24510 ▼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.
5021 ▼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
71020 ▼a The University of North Carolina at Chapel Hill. ▼b Biostatistics.
7730 ▼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
85640 ▼u http://www.riss.kr/pdu/ddodLink.do?id=T14997101 ▼n KERIS
980 ▼a 201812 ▼f 2019
990 ▼a 관리자