Maximum likelihood estimation and EM algorithm of Copas-like selection model for publication bias correction-Reference-Cited by-同舟云学术

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Maximum likelihood estimation and EM algorithm of Copas-like selection model for publication bias correction

Published:2017-02-25 Issue:3 Volume:18 Page:495-504
ISSN:1465-4644
Container-title:Biostatistics
language:en
Short-container-title:

Author:

Ning Jing¹,Chen Yong²,Piao Jin³

Affiliation:

1. Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA jning@mdanderson.org

2. Department of Biostatistics and Epidemiology, The University of Pennsylvania, Philadelphia, PA 19104, USA

3. Department of Biostatistics, The University of Texas School of Public Health, Houston, TX 77030, USA

Funder

National Institutes of Health

Publisher

Oxford University Press (OUP)

Subject

Statistics, Probability and Uncertainty,General Medicine,Statistics and Probability

Link

http://academic.oup.com/biostatistics/article-pdf/18/3/495/24331884/kxx004.pdf

Reference27 articles.

1. Using journal impact factors to correct for the publication bias of medical studies;Baker;Biometrics,2006

2. Operating characteristics of a rank correlation test for publication bias;Begg;Biometrics,1994

3. Testing for publication bias in diagnostic meta-analysis: a simulation study;Bürkner;Statistics in Medicine,2014

4. Empirical evaluation showed that the copas selection model provided a useful summary in 80% of meta-analyses;Carpenter;Journal of Clinical Epidemiology,2009

5. What works? Selectivity models and meta-analysis;Copas;Journal of the Royal Statistical Society: Series A (Statistics in Society),1999

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1. Nonparametric worst-case bounds for publication bias on the summary receiver operating characteristic curve;Biometrics;2024-07-01

2. Sensitivity analysis for publication bias in meta-analysis of sparse data based on exact likelihood;Biometrics;2024-07-01

3. Simulation models for aggregated data meta-analysis: Evaluation of pooling effect sizes and publication biases;Statistical Methods in Medical Research;2024-03

4. Copas’ method is sensitive to different mechanisms of publication bias;Statistics & Probability Letters;2023-03

5. A markerless beam's eye view motion monitoring algorithm based on structure conversion and demons registration in medical image with partial data;Medical Physics;2023-02-03

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