Rejoinder to the discussion of "a Bayesian missing data framework for generalized multiple outcome mixed treatment comparisons," by S. Dias and A. E. Ades.
Publication
, Journal Article
Hong, H; Chu, H; Zhang, J; Carlin, BP
Published in: Res Synth Methods
March 2016
Duke Scholars
Published In
Res Synth Methods
DOI
EISSN
1759-2887
Publication Date
March 2016
Volume
7
Issue
1
Start / End Page
29 / 33
Location
England
Related Subject Headings
- Treatment Outcome
- Humans
- Drug-Related Side Effects and Adverse Reactions
- Data Interpretation, Statistical
- Bayes Theorem
- 4905 Statistics
- 4605 Data management and data science
- 1117 Public Health and Health Services
- 0104 Statistics
Citation
APA
Chicago
ICMJE
MLA
NLM
Hong, H., Chu, H., Zhang, J., & Carlin, B. P. (2016). Rejoinder to the discussion of "a Bayesian missing data framework for generalized multiple outcome mixed treatment comparisons," by S. Dias and A. E. Ades. Res Synth Methods, 7(1), 29–33. https://doi.org/10.1002/jrsm.1186
Hong, Hwanhee, Haitao Chu, Jing Zhang, and Bradley P. Carlin. “Rejoinder to the discussion of "a Bayesian missing data framework for generalized multiple outcome mixed treatment comparisons," by S. Dias and A. E. Ades.” Res Synth Methods 7, no. 1 (March 2016): 29–33. https://doi.org/10.1002/jrsm.1186.
Hong H, Chu H, Zhang J, Carlin BP. Rejoinder to the discussion of "a Bayesian missing data framework for generalized multiple outcome mixed treatment comparisons," by S. Dias and A. E. Ades. Res Synth Methods. 2016 Mar;7(1):29–33.
Hong, Hwanhee, et al. “Rejoinder to the discussion of "a Bayesian missing data framework for generalized multiple outcome mixed treatment comparisons," by S. Dias and A. E. Ades.” Res Synth Methods, vol. 7, no. 1, Mar. 2016, pp. 29–33. Pubmed, doi:10.1002/jrsm.1186.
Hong H, Chu H, Zhang J, Carlin BP. Rejoinder to the discussion of "a Bayesian missing data framework for generalized multiple outcome mixed treatment comparisons," by S. Dias and A. E. Ades. Res Synth Methods. 2016 Mar;7(1):29–33.
Published In
Res Synth Methods
DOI
EISSN
1759-2887
Publication Date
March 2016
Volume
7
Issue
1
Start / End Page
29 / 33
Location
England
Related Subject Headings
- Treatment Outcome
- Humans
- Drug-Related Side Effects and Adverse Reactions
- Data Interpretation, Statistical
- Bayes Theorem
- 4905 Statistics
- 4605 Data management and data science
- 1117 Public Health and Health Services
- 0104 Statistics