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Doubly robust generalized estimating equations with consistent variance estimator when one auxiliary model is misspecified
DC Field | Value | Language |
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dc.contributor.advisor | Myunghee Cho Paik | - |
dc.contributor.author | 장대규 | - |
dc.date.accessioned | 2017-07-19T08:47:04Z | - |
dc.date.available | 2017-07-19T08:47:04Z | - |
dc.date.issued | 2016-08 | - |
dc.identifier.other | 000000136551 | - |
dc.identifier.uri | https://hdl.handle.net/10371/131320 | - |
dc.description | 학위논문 (석사)-- 서울대학교 대학원 : 통계학과, 2016. 8. Myunghee Cho Paik. | - |
dc.description.abstract | The doubly-robust generalized estimating equation (DR-GEE) is a popular analytic tool for repeated measurements with missing data. It requires two assumptions on auxiliary models for outcome and the observation indicator, and produces a consistent point estimator when either of the model assumptions is correct. Another advantage is an easy variance formula due to asymptotic independence
between the estimator of interest and the estimators from the auxiliary models. However, this feature can be capitalized only when both models are correctly specified. In this paper, we propose an alternative DR-GEE that produces a consistent variance estimator even when one of the auxiliary models is misspecified. The main idea is to construct estimating equations for the auxiliary models so that the estimators of main interest and the estimators from auxiliary models are asymptotically independent. We illustrate the method on data from a clinical trial for hypertension. | - |
dc.description.tableofcontents | Chapter 1 Introduction 1
Chapter 2 Setup and Review 3 2.1 Setup 3 2.2 Generalized Estimating Equations 4 2.3 Weighted GEE 4 2.4 DR-GEE 5 Chapter 3 Proposed Method 8 Chapter 4 Simulation Study 10 Chapter 5 Application to data from clinical trial in antihypertensive drug 13 Chapter 6 Discussion 15 References 16 Abstract in Korean 17 | - |
dc.format | application/pdf | - |
dc.format.extent | 278857 bytes | - |
dc.format.medium | application/pdf | - |
dc.language.iso | en | - |
dc.publisher | 서울대학교 대학원 | - |
dc.subject | Doubly robustness | - |
dc.subject | generalized estimating equations | - |
dc.subject | missing at random | - |
dc.subject | consistent variance estimator | - |
dc.subject.ddc | 519 | - |
dc.title | Doubly robust generalized estimating equations with consistent variance estimator when one auxiliary model is misspecified | - |
dc.type | Thesis | - |
dc.description.degree | Master | - |
dc.citation.pages | iii, 17 | - |
dc.contributor.affiliation | 자연과학대학 통계학과 | - |
dc.date.awarded | 2016-08 | - |
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