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020 ▼a 9780438136106
035 ▼a (MiAaPQ)AAI10903785
040 ▼a MiAaPQ ▼c MiAaPQ ▼d 248032
0820 ▼a 624
1001 ▼a Wood, Jonathan S.
24510 ▼a Causal Inference in Traffic Safety Research: Comparison of the Empirical Bayes and Propensity Scores-Potential Outcomes Methods.
260 ▼a [S.l.] : ▼b The Pennsylvania State University., ▼c 2016
260 1 ▼a Ann Arbor : ▼b ProQuest Dissertations & Theses, ▼c 2016
300 ▼a 211 p.
500 ▼a Source: Dissertation Abstracts International, Volume: 79-12(E), Section: B.
5021 ▼a Thesis (Ph.D.)--The Pennsylvania State University, 2016.
520 ▼a Accurate estimation of safety treatment effectiveness is an important part of the transportation engineering and research profession. Transportation engineering practitioners use safety treatment effect estimates to identify countermeasures that
520 ▼a In this thesis, the counterfactuals framework is applied to the empirical Bayes before-after and propensity scores-potential outcomes methods to describe how to generalize the results of both methods to the population of potential entities that
520 ▼a Finally, based on these findings, guidelines for developing crash modification factors are provided. Based on these guidelines, a flowchart for determining which analysis method to use is developed.
590 ▼a School code: 0176.
650 4 ▼a Civil engineering.
650 4 ▼a Statistics.
690 ▼a 0543
690 ▼a 0463
71020 ▼a The Pennsylvania State University. ▼b Civil and Environmental Engineering.
7730 ▼t Dissertation Abstracts International ▼g 79-12B(E).
773 ▼t Dissertation Abstract International
790 ▼a 0176
791 ▼a Ph.D.
792 ▼a 2016
793 ▼a English
85640 ▼u http://www.riss.kr/pdu/ddodLink.do?id=T15000742 ▼n KERIS
980 ▼a 201812 ▼f 2019
990 ▼a 관리자