Description Usage Arguments Value References Examples

View source: R/contrast.network.R

Calculates deviance statistics. This function automatically called in `contrast.network.run`

and the deviance statistics are stored after sampling is finished.

1 | ```
calculate.contrast.deviance(result)
``` |

`result` |
Object created by |

`Dbar` |
Overall residual deviance |

`pD` |
Sum of leverage_arm (i.e. total leverage) |

`DIC` |
Deviance information criteria (sum of Dbar and pD) |

`resdev_study` |
Posterior mean of the residual deviance in each study |

`devtilda_study` |
Deviance at the posterior mean of the fitted values |

`leverage_study` |
Difference between resdev_study and devtilda_study for each trial |

A.J. Franchini, S. Dias, A.E. Ades, J.P. Jansen, N.J. Welton (2012), *Accounting for correlation in network meta-analysis with multi-arm trials*, Research Synthesis Methods 3(2):142-160. [https://doi.org/10.1002/jrsm.1049]

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. [https://doi.org/10.1177/0272989X12458724]

1 2 3 4 5 6 | ```
network <- with(parkinsons_contrast, {
contrast.network.data(Outcomes, Treat, SE, na, V)
})
result <- contrast.network.run(network)
calculate.contrast.deviance(result)
``` |

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