network.forest.plot {bnma} | R Documentation |

## Draws forest plot

### Description

Draws forest plot of pooled treatment effect. Reports odds ratio for binomial and multinomial outcomes and continuous scale for normal outcomes.

### Usage

```
network.forest.plot(
result,
level = 0.95,
ticks.position = NULL,
label.multiplier = 0.2,
label.margin = 10,
title = "Network Meta-analysis Forest plot",
only.reference.treatment = FALSE
)
```

### Arguments

`result` |
Object created by |

`level` |
Confidence level. Default is 0.95 denoting 95 percent C.I. |

`ticks.position` |
Position of the x-axis tick marks. If left unspecified, the function tries to set it at sensible values |

`label.multiplier` |
This is a multiplying factor to move the position of the text associated with median[lower, upper] values. This number is multiplied by the range of x-axis and added to the x-axis limit. Default multiplier is set to 0.2. |

`label.margin` |
This is how much margin space you specify to assign space for the median[lower, upper] values. Default margin is set to 10. |

`title` |
Header name which you can modify |

`only.reference.treatment` |
Indicator for plotting only the comparison to the reference treatment |

### Value

None

### References

W. Viechtbauer (2010), *Conducting meta-analyses in R with the metafor package*, Journal of Statistical Software, 36(3):1-48. doi:10.18637/jss.v036.i03

### Examples

```
network <- with(certolizumab, {
network.data(Outcomes, Study, Treat, N=N, response="binomial", Treat.order,
covariate = covariate, covariate.type = "continuous", hy.prior = list("dhnorm", 0, 9.77))
})
result <- network.run(network)
network.forest.plot(result)
```

*bnma*version 1.6.0 Index]