LDR | | 00000nmm u2200205 4500 |
001 | | 000000330866 |
005 | | 20241105134455 |
008 | | 181129s2018 ||| | | | eng d |
020 | |
▼a 9780438126589 |
035 | |
▼a (MiAaPQ)AAI10903052 |
035 | |
▼a (MiAaPQ)umichrackham:001209 |
040 | |
▼a MiAaPQ
▼c MiAaPQ
▼d 248032 |
049 | 1 |
▼f DP |
082 | 0 |
▼a 574 |
100 | 1 |
▼a Imbriano, Paul M. |
245 | 10 |
▼a Methods for Improving Efficiency of Planned Missing Data Designs. |
260 | |
▼a [S.l.] :
▼b University of Michigan.,
▼c 2018 |
260 | 1 |
▼a Ann Arbor :
▼b ProQuest Dissertations & Theses,
▼c 2018 |
300 | |
▼a 111 p. |
500 | |
▼a Source: Dissertation Abstracts International, Volume: 79-12(E), Section: B. |
500 | |
▼a Adviser: Trivellore E. Raghunathan. |
502 | 1 |
▼a Thesis (Ph.D.)--University of Michigan, 2018. |
520 | |
▼a Any survey specifically constructed so that at least some variables are unobserved on a subset of participants is a planned missing data design, where missing data represent an intentional feature of the study. Use of planned missing data design |
520 | |
▼a First, we propose new methods for selecting our second phase sample in two-phase surveys to reduce the variance of our estimate. When our outcome variable is continuous, we can use the data collected in Phase I for selecting our Phase II sample |
520 | |
▼a Next, we examine the performance of several design allocations for implementing a split questionnaire survey in a longitudinal study. While many papers examined the administration of split questionnaire designs in cross-sectional studies, resear |
520 | |
▼a Finally, we propose a method for improving variable allocation in split questionnaire designs. We establish a criterion that allows us to determine which variable allocations minimize the loss of information due to missing data. We use the Kullb |
590 | |
▼a School code: 0127. |
650 | 4 |
▼a Biostatistics. |
690 | |
▼a 0308 |
710 | 20 |
▼a University of Michigan.
▼b Biostatistics. |
773 | 0 |
▼t Dissertation Abstracts International
▼g 79-12B(E). |
773 | |
▼t Dissertation Abstract International |
790 | |
▼a 0127 |
791 | |
▼a Ph.D. |
792 | |
▼a 2018 |
793 | |
▼a English |
856 | 40 |
▼u http://www.riss.kr/pdu/ddodLink.do?id=T15000550
▼n KERIS |
980 | |
▼a 201812
▼f 2019 |
990 | |
▼a 관리자
▼b 관리자 |