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Causal Inference in Traffic Safety Research: Comparison of the Empirical Bayes and Propensity Scores-Potential Outcomes Methods
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| 자료유형 | 학위논문 |
|---|---|
| 서명/저자사항 | Causal Inference in Traffic Safety Research: Comparison of the Empirical Bayes and Propensity Scores-Potential Outcomes Methods. |
| 개인저자 | Wood, Jonathan S. |
| 단체저자명 | The Pennsylvania State University. Civil and Environmental Engineering. |
| 발행사항 | [S.l.]: The Pennsylvania State University., 2016. |
| 발행사항 | Ann Arbor: ProQuest Dissertations & Theses, 2016. |
| 형태사항 | 211 p. |
| 기본자료 저록 | Dissertation Abstracts International 79-12B(E). Dissertation Abstract International |
| ISBN | 9780438136106 |
| 학위논문주기 | Thesis (Ph.D.)--The Pennsylvania State University, 2016. |
| 일반주기 |
Source: Dissertation Abstracts International, Volume: 79-12(E), Section: B.
|
| 요약 | 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 |
| 요약 | 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 |
| 요약 | 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. |
| 일반주제명 | Civil engineering. Statistics. |
| 언어 | 영어 |
| 바로가기 | 
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