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020 ▼a 9780438159464
035 ▼a (MiAaPQ)AAI10190100
035 ▼a (MiAaPQ)wisc:13690
040 ▼a MiAaPQ ▼c MiAaPQ ▼d 247004
0820 ▼a 310
1001 ▼a Qi, Cuicui.
24510 ▼a Model-Assisted Regression Estimators for Longitudinal Data with Nonignorable Dropout.
260 ▼a [S.l.]: ▼b The University of Wisconsin - Madison., ▼c 2016.
260 1 ▼a Ann Arbor: ▼b ProQuest Dissertations & Theses, ▼c 2016.
300 ▼a 79 p.
500 ▼a Source: Dissertation Abstracts International, Volume: 79-11(E), Section: B.
500 ▼a Adviser: Jun Shao.
5021 ▼a Thesis (Ph.D.)--The University of Wisconsin - Madison, 2016.
520 ▼a Estimation with longitudinal data having nonignorable dropout is considered when the joint distribution of the study variable y and covariate x is nonparametric and the dropout propensity conditional on y and x follows a parametric model. To dea
590 ▼a School code: 0262.
650 4 ▼a Statistics.
690 ▼a 0463
71020 ▼a The University of Wisconsin - Madison. ▼b Statistics.
7730 ▼t Dissertation Abstracts International ▼g 79-11B(E).
773 ▼t Dissertation Abstract International
790 ▼a 0262
791 ▼a Ph.D.
792 ▼a 2016
793 ▼a English
85640 ▼u http://www.riss.kr/pdu/ddodLink.do?id=T14996515 ▼n KERIS ▼z 이 자료의 원문은 한국교육학술정보원에서 제공합니다.
980 ▼a 201812 ▼f 2019
990 ▼a ***1012033