blocker: Beta blockers to prevent mortality after myocardial...
In bnma: Bayesian Network Meta-Analysis using 'JAGS'
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. Control is coded as 1 and beta blocker treatment is coded as 2.
Usage
blocker
Format
A list of Outcomes, Treat, Study, and N.
References
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")}
bnma documentation built on Aug. 15, 2023, 5:08 p.m.
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| 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. Control is coded as 1 and beta blocker treatment is coded as 2.
Usage
blocker
Format
A list of Outcomes, Treat, Study, and N.
References
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")}
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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