東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Uncovering causal mechanisms: Three ...

Park, Soojin.

FindBook

Google Book

Amazon

博客來

Uncovering causal mechanisms: Three extensions of causal mediation analysis.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Uncovering causal mechanisms: Three extensions of causal mediation analysis./
作者:	Park, Soojin.
面頁冊數:	140 p.
附註:	Source: Dissertation Abstracts International, Volume: 77-10(E), Section: B.
Contained By:	Dissertation Abstracts International77-10B(E).
標題:	Statistics. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10126389
ISBN:	9781339844299

Uncovering causal mechanisms: Three extensions of causal mediation analysis.
Park, Soojin.

Uncovering causal mechanisms: Three extensions of causal mediation analysis. - 140 p.

Source: Dissertation Abstracts International, Volume: 77-10(E), Section: B.

Thesis (Ph.D.)--The University of Wisconsin - Madison, 2016.

Education researchers interested in the causal effects of interventions are often interested in also understanding causal mechanisms---i.e., why and how a treatment has an effect. Causal Mediation Analysis is a statistical framework that allows researchers to investigate why and how a treatment has its effect on an outcome. Current work on causal mediation analysis reveals several limitations: 1) recent papers are based predominantly within the frequentist framework while there have been few attempts to understand causal mediation analysis within the Bayesian framework, 2) most of the work has been discussed in the presence of perfect compliance to a treatment and with a single mediator---which is unlikely to reflect real-life applications, and 3) few studies exist on longitudinal causal mediation analysis with time-varying covariates. In response to these limitations, the aim of this dissertation is to develop three extensions of causal mediation analysis: 1) Bayesian Causal Mediation Analysis with a Group Randomized Design (Park and Kaplan, 2015), 2) Bayesian Causal Mediation Analysis with Multiple Mediations in the Presence of Treatment No-compliance, and 3) Causal Mediation Analysis under Longitudinal Settings. Possible ways to accommodate these limitations are discussed in the context of a real-life example. It concludes with discussions and future directions.

ISBN: 9781339844299Subjects--Topical Terms:

517247
Statistics.

Uncovering causal mechanisms: Three extensions of causal mediation analysis.
LDR:02295nmm a2200289 4500 001 2076194
005 20161028121037.5
008 170521s2016 ||||||||||||||||| ||eng d
020 $a 9781339844299
035 $a (MiAaPQ)AAI10126389
035 $a AAI10126389
040 $a MiAaPQ $c MiAaPQ
100 1 $a Park, Soojin. $3 1638958
245 1 0 $a Uncovering causal mechanisms: Three extensions of causal mediation analysis.
300 $a 140 p.
500 $a Source: Dissertation Abstracts International, Volume: 77-10(E), Section: B.
500 $a Adviser: David Kaplan.
502 $a Thesis (Ph.D.)--The University of Wisconsin - Madison, 2016.
520 $a Education researchers interested in the causal effects of interventions are often interested in also understanding causal mechanisms---i.e., why and how a treatment has an effect. Causal Mediation Analysis is a statistical framework that allows researchers to investigate why and how a treatment has its effect on an outcome. Current work on causal mediation analysis reveals several limitations: 1) recent papers are based predominantly within the frequentist framework while there have been few attempts to understand causal mediation analysis within the Bayesian framework, 2) most of the work has been discussed in the presence of perfect compliance to a treatment and with a single mediator---which is unlikely to reflect real-life applications, and 3) few studies exist on longitudinal causal mediation analysis with time-varying covariates. In response to these limitations, the aim of this dissertation is to develop three extensions of causal mediation analysis: 1) Bayesian Causal Mediation Analysis with a Group Randomized Design (Park and Kaplan, 2015), 2) Bayesian Causal Mediation Analysis with Multiple Mediations in the Presence of Treatment No-compliance, and 3) Causal Mediation Analysis under Longitudinal Settings. Possible ways to accommodate these limitations are discussed in the context of a real-life example. It concludes with discussions and future directions.
590 $a School code: 0262.
650 4 $a Statistics. $3 517247
650 4 $a Educational evaluation. $3 526425
650 4 $a Quantitative psychology. $3 2144748
690 $a 0463
690 $a 0443
690 $a 0632
710 2 $a The University of Wisconsin - Madison. $b Educational Psychology. $3 3170079
773 0 $t Dissertation Abstracts International $g 77-10B(E).
790 $a 0262
791 $a Ph.D.
792 $a 2016
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10126389