netbind | R Documentation |

This function can be used to combine network meta-analysis objects which is especially useful to generate a forest plot with results of several network meta-analyses.

netbind( ..., name, common, random, col.study = "black", col.inside = "white", col.square = "gray", col.square.lines = col.square, backtransf, reference.group, baseline.reference, warn.deprecated = gs("warn.deprecated"), fixed, comb.fixed, comb.random )

`...` |
Any number of network meta-analysis objects or a single list with network meta-analyses. |

`name` |
An optional character vector providing descriptive names for network meta-analysis objects. |

`common` |
A logical indicating whether results for the common effects model should be reported. |

`random` |
A logical indicating whether results for the random effects model should be reported. |

`col.study` |
The colour for network estimates and confidence limits. |

`col.inside` |
The colour for network estimates and confidence limits if confidence limits are completely within squares. |

`col.square` |
The colour for squares. |

`col.square.lines` |
The colour for the outer lines of squares. |

`backtransf` |
A logical indicating whether results should be
back transformed. If |

`reference.group` |
Reference treatment. |

`baseline.reference` |
A logical indicating whether results
should be expressed as comparisons of other treatments versus the
reference treatment (default) or vice versa. This argument is
only considered if |

`warn.deprecated` |
A logical indicating whether warnings should be printed if deprecated arguments are used. |

`fixed` |
Deprecated argument; replaced by |

`comb.fixed` |
Deprecated argument; replaced by |

`comb.random` |
Deprecated argument; replaced by |

An object of class `"netbind"`

with corresponding
`forest`

function. The object is a list containing the
following components:

`common` |
A data frame with results for the common effects model. |

`random` |
A data frame with results for the random effects model. |

`sm` |
Summary measure used in network meta-analyses. |

`level.ma` |
Level for confidence intervals. |

`reference.group, baseline.reference` |
As defined above. |

Guido Schwarzer sc@imbi.uni-freiburg.de

`netmeta`

, `netcomb`

,
`discomb`

, `forest.netbind`

data(Linde2016) # Only consider studies including Face-to-face PST (to reduce # runtime of example) # face <- subset(Linde2016, id %in% c(16, 24, 49, 118)) # Standard random effects NMA model (with placebo as reference # treatment) # net1 <- netmeta(lnOR, selnOR, treat1, treat2, id, data = face, reference.group = "placebo", sm = "OR", common = FALSE) # Additive CNMA model with placebo as inactive component and # reference # nc1 <- netcomb(net1, inactive = "placebo") # Combine results of standard NMA and CNMA # nb1 <- netbind(nc1, net1, name = c("Additive CNMA", "Standard NMA"), col.study = c("red", "black"), col.square = c("red", "black")) forest(nb1, col.by = "black", addrow.subgroups = FALSE, fontsize = 10, spacing = 0.7, squaresize = 0.9, label.left = "Favours Placebo", label.right = "Favours other")

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