Network Meta-Analysis Using Bayesian Methods

atrialFibrillation | Prevention of stroke in atrial fibrillation patients |

blobbogram | Plot a blobbogram (AKA forest plot) |

blocker | Beta blockers to prevent mortality after myocardial... |

certolizumab | Certolizumab Pegol (CZP) for Rheumatoid Arthritis |

depression | Treatment response in major depression |

dietfat | Effects of low-fat diets on mortality |

gemtc-package | GeMTC: Network meta-analysis in R |

hfPrevention | Statins versus placebo in primary and secondary prevention of... |

ll.call | Call a likelihood/link-specific function |

mtc.anohe | Analysis of heterogeneity (ANOHE) |

mtc.data.studyrow | Convert one-study-per-row datasets |

mtc.deviance | Inspect residual deviance |

mtc.hy.prior | Set priors for the heterogeneity parameter |

mtc.model | Generate network meta-analysis models |

mtc.network | Create an mtc.network |

mtc.nodesplit | Node-splitting analysis of inconsistency |

mtc.run | Running an 'mtc.model' using an MCMC sampler |

parkinson | Mean off-time reduction in Parkinson's disease |

plotCovariateEffect | Plot treatment effects versus covariate values |

rank.probability | Calculating rank-probabilities |

relative.effect | Calculating relative effects |

relative.effect.table | Table of relative effects |

smoking | Psychological treatments to aid smoking cessation |

thrombolytic | Thrombolytic treatment after acute myocardial infarction |

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