blocker: Beta blockers to prevent mortality after myocardial...
In gemtc: Network Meta-Analysis Using Bayesian Methods
blocker R Documentation
Beta blockers to prevent mortality after myocardial infarction
Description
A dataset of 22 trials investigating beta blockers versus control to prevent mortality after myocardial infarction. Number of events and sample size.
Format
A meta-analysis dataset containing 44 rows of arm-based data (responders and sample size).
Source
S. Dias, A.J. Sutton, A.E. Ades, and N.J. Welton (2013a),
A Generalized Linear Modeling Framework for Pairwise and Network Meta-analysis of Randomized Controlled Trials,
Medical Decision Making 33(5):607-617.
[\Sexpr[results=rd]{tools:::Rd_expr_doi("10.1177/0272989X12458724")}]
J.B. Carlin (1992),
Meta-analysis for 2 × 2 tables: a Bayesian approach,
Statistics in Medicine 11(2):141-158.
[\Sexpr[results=rd]{tools:::Rd_expr_doi("10.1002/sim.4780110202")}]
gemtc documentation built on July 9, 2023, 5:33 p.m.
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Beta blockers to prevent mortality after myocardial infarction
Description
A dataset of 22 trials investigating beta blockers versus control to prevent mortality after myocardial infarction. Number of events and sample size.
Format
A meta-analysis dataset containing 44 rows of arm-based data (responders and sample size).
Source
S. Dias, A.J. Sutton, A.E. Ades, and N.J. Welton (2013a), A Generalized Linear Modeling Framework for Pairwise and Network Meta-analysis of Randomized Controlled Trials, Medical Decision Making 33(5):607-617. [\Sexpr[results=rd]{tools:::Rd_expr_doi("10.1177/0272989X12458724")}]
J.B. Carlin (1992), Meta-analysis for 2 × 2 tables: a Bayesian approach, Statistics in Medicine 11(2):141-158. [\Sexpr[results=rd]{tools:::Rd_expr_doi("10.1002/sim.4780110202")}]
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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