Description Usage Arguments Details Author(s) References Examples

This function generates the Q-Q plot for network meta-analyisis model.

1 |

`data` |
object of class NMAoutlier.measures (mandatory). |

Plot of Q-squared Mahalanobis distance for each study included in the network meta-analysis. Vertical axis provides the Q-squared Mahalanobis distance for each i study included in the network meta-analysis. Horizontal axis provides Q estimated quantiles (theoretical quantiles from the normal distribution). A reference line is fitted from the cartesian points of the two measures. The Q-Q plot can visualize studies that are away from the reference line (potiential outliers).

Q-Q plot for network meta-analysis has been introduced by Petropoulou (2020).

Maria Petropoulou <petropoulou@imbi.uni-freiburg.de>

Petropoulou M (2020):
Exploring methodological challenges in network meta-analysis models and
developing methodology for outlier detection.
*PhD dissertation*

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 | ```
data(smokingcessation, package = "netmeta")
p1 <- netmeta::pairwise(list(treat1, treat2, treat3),
list(event1, event2, event3),
list(n1, n2, n3),
data = smokingcessation,
sm = "OR")
# Outlier and influential detection measures
measures <- NMAoutlier.measures(p1)
# Mahalanobis distance values for each study in the network
measures$Mah
# Q-Q netplot for the network of smoking cessation dataset
Qnetplot(measures)
``` |

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