Rejoinder to the discussion of “a Bayesian missing data framework for generalized multiple outcome mixed treatment comparisons,” by S. Dias and A. E. Ades-Reference-Cited by-同舟云学术

Rejoinder to the discussion of “a Bayesian missing data framework for generalized multiple outcome mixed treatment comparisons,” by S. Dias and A. E. Ades

Published:2015-10-13 Issue:1 Volume:7 Page:29-33
ISSN:1759-2879
Container-title:Research Synthesis Methods
language:en
Short-container-title:Res. Syn. Meth.

Author:

Hong Hwanhee¹,Chu Haitao²,Zhang Jing³^ORCID,Carlin Bradley P.²

Affiliation:

1. Department of Mental Health; Johns Hopkins Bloomberg School of Public Health; 624 N. Broadway Baltimore MD 21205 USA

2. Division of Biostatistics; University of Minnesota; 420 Delaware St. S.E. Minneapolis MN 55455 USA

3. Department of Epidemiology and Biostatistics, School of Public Health; University of Maryland; College Park MD 20742 USA

Publisher

Wiley

Subject

Education

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/jrsm.1186/fullpdf

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2. Incorporation of individual-patient data in network meta-analysis for multiple continuous endpoints, with application to diabetes treatment;Hong;Statistics in Medicine,2015

3. Selection models and the file drawer problem;Iyengar;Statistical Science,1988

4. Uncertain Judgements: Eliciting Experts' Probabilities

5. Meta-analysis of safety for low event-rate binomial trials;Shuster;Research Synthesis Methods,2012

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