| LDR | | 02638nam u200421 4500 |
| 001 | | 000000418920 |
| 005 | | 20190215163247 |
| 008 | | 181129s2017 |||||||||||||||||c||eng d |
| 020 | |
▼a 9780438099012 |
| 035 | |
▼a (MiAaPQ)AAI10901963 |
| 035 | |
▼a (MiAaPQ)OhioLINK:osu1503007759352248 |
| 040 | |
▼a MiAaPQ
▼c MiAaPQ
▼d 247004 |
| 082 | 0 |
▼a 310 |
| 100 | 1 |
▼a Chen, Ziyue. |
| 245 | 10 |
▼a Generalizing Results from Randomized Trials to Target Population via Weighting Methods Using Propensity Score. |
| 260 | |
▼a [S.l.]:
▼b The Ohio State University.,
▼c 2017. |
| 260 | 1 |
▼a Ann Arbor:
▼b ProQuest Dissertations & Theses,
▼c 2017. |
| 300 | |
▼a 212 p. |
| 500 | |
▼a Source: Dissertation Abstracts International, Volume: 79-10(E), Section: B. |
| 500 | |
▼a Adviser: Eloise Kaizar. |
| 502 | 1 |
▼a Thesis (Ph.D.)--The Ohio State University, 2017. |
| 520 | |
▼a Randomized controlled trials (RCTs) provide strong internal validity compared with observational studies. However, selection bias threatens the external validity of randomized trials. Thus, naive RCT results may not apply to either broad general |
| 520 | |
▼a We are interested in two types of target populations: finite and infinite populations. We propose a simulation framework that imitates the environment composing a randomized trial and target population, i.e., the single-layer simulation construc |
| 520 | |
▼a We develop a model-free inverse probability weighted estimator (IPWE) to estimate the average treatment effect in a target population and propose several variance estimation methods, including parametric estimation methods and bootstrap-based me |
| 520 | |
▼a In addition to IPWEs, we study model-based estimators including regression-based and survey regression-based estimators. With weights, the survey design-based estimators perform similarly to the regression-based estimators. However, the performa |
| 520 | |
▼a We also propose estimating PSs with separate models for the treatment and control arms of the trial, rather than estimating PSs together (treatment and control groups in trials combined). We find that for many common situations, IPWEs with weigh |
| 590 | |
▼a School code: 0168. |
| 650 | 4 |
▼a Statistics. |
| 690 | |
▼a 0463 |
| 710 | 20 |
▼a The Ohio State University.
▼b Statistics. |
| 773 | 0 |
▼t Dissertation Abstracts International
▼g 79-10B(E). |
| 773 | |
▼t Dissertation Abstract International |
| 790 | |
▼a 0168 |
| 791 | |
▼a Ph.D. |
| 792 | |
▼a 2017 |
| 793 | |
▼a English |
| 856 | 40 |
▼u http://www.riss.kr/pdu/ddodLink.do?id=T15000340
▼n KERIS
▼z 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
| 980 | |
▼a 201812
▼f 2019 |
| 990 | |
▼a ***1012033 |