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Statistical Methods for Transportabi...

Ackerman, Benjamin.

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Statistical Methods for Transportability: Addressing External Validity and Measurement Error Concerns in Randomized Trials.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Statistical Methods for Transportability: Addressing External Validity and Measurement Error Concerns in Randomized Trials./
作者:	Ackerman, Benjamin.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2020,
面頁冊數:	162 p.
附註:	Source: Dissertations Abstracts International, Volume: 82-03, Section: B.
Contained By:	Dissertations Abstracts International82-03B.
標題:	Statistics. -
電子資源:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28068833
ISBN:	9798662431089

Statistical Methods for Transportability: Addressing External Validity and Measurement Error Concerns in Randomized Trials.
Ackerman, Benjamin.

Statistical Methods for Transportability: Addressing External Validity and Measurement Error Concerns in Randomized Trials. - Ann Arbor : ProQuest Dissertations & Theses, 2020 - 162 p.

Source: Dissertations Abstracts International, Volume: 82-03, Section: B.

Thesis (Ph.D.)--The Johns Hopkins University, 2020.

This item must not be sold to any third party vendors.

Randomized trials are considered the gold standard for estimating causal effects, and evidence from trials is highly regarded in decision making processes that impact entire populations. While rigorous in design, RCTs can still be flawed; leveraging data and information from additional non-experimental or "real world" studies can be advantageous for addressing statistical issues and improving inferences. This dissertation addresses two complications that arise in trials and can be addressed in this way: poor external validity and measurement error. To deal with both of these issues, it is important to consider (and account for) differences in baseline covariates between the RCT sample and the external data source. In other words, it is crucial to address how "transportable" inferences are between the two studies. This work focuses on transportability between an RCT and an external non-experimental study in two contexts: 1) when generalizing RCT findings to a well-defined target population and 2) when correcting for outcome measurement error in an RCT.

ISBN: 9798662431089Subjects--Topical Terms:

517247
Statistics.
Subjects--Index Terms:

Generalizability

Statistical Methods for Transportability: Addressing External Validity and Measurement Error Concerns in Randomized Trials.
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653 $a Measurement error
653 $a Causal inference
653 $a Biostatistics
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