Description Usage Arguments Details Value Author(s) References See Also Examples

Performs an influence analysis. Pooled estimates are calculated omitting one study at a time.

1 | ```
metainf(x, pooled, sortvar)
``` |

`x` |
An object of class |

`pooled` |
A character string indicating whether a fixed effect
or random effects model is used for pooling. Either missing (see
Details), |

`sortvar` |
An optional vector used to sort the individual
studies (must be of same length as |

Performs a influence analysis; pooled estimates are calculated
omitting one study at a time. Studies are sorted according to
`sortvar`

.

Information from object `x`

is utilised if argument
`pooled`

is missing. A fixed effect model is assumed
(`pooled="fixed"`

) if argument `x$comb.fixed`

is
`TRUE`

; a random effects model is assumed
(`pooled="random"`

) if argument `x$comb.random`

is
`TRUE`

and `x$comb.fixed`

is `FALSE`

.

An object of class `c("metainf", "meta")`

with corresponding
`print`

, and `forest`

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

`TE, seTE` |
Estimated treatment effect and standard error of pooled estimate in influence analysis. |

`lower, upper` |
Lower and upper confidence interval limits. |

`statistic` |
Statistic for test of overall effect. |

`pval` |
P-value for test of overall effect. |

`studlab` |
Study label describing omission of studies. |

`w` |
Sum of weights from fixed effect or random effects model. |

`I2` |
Heterogeneity statistic I |

`Rb` |
Heterogeneity statistic R |

`tau` |
Square-root of between-study variance. |

`df.hakn` |
Degrees of freedom for test of treatment effect for
Hartung-Knapp method (only if |

`sm` |
Summary measure. |

`method` |
Method used for pooling. |

`k` |
Number of studies combined in meta-analysis. |

`pooled` |
As defined above. |

`comb.fixed` |
A logical indicating whether analysis is based on fixed effect model. |

`comb.random` |
A logical indicating whether analysis is based on random effects model. |

`TE.fixed, seTE.fixed` |
Value is |

`TE.random, seTE.random` |
Value is |

`Q` |
Value is |

`level.comb` |
The level used to calculate confidence intervals for pooled estimates. |

`hakn` |
A logical indicating whether the method by Hartung and Knapp is used to adjust test statistics and confidence intervals. |

`adhoc.hakn` |
A character string indicating whether |

`method.tau` |
A character string indicating which method is
used to estimate the between-study variance |

`tau.preset` |
Prespecified value for the square root of the
between-study variance |

`TE.tau` |
Overall treatment effect used to estimate the
between-study variance |

`n.harmonic.mean` |
Harmonic mean of number of observations (for back transformation of Freeman-Tukey Double arcsine transformation). |

`version` |
Version of R package |

Guido Schwarzer sc@imbi.uni-freiburg.de

Cooper H & Hedges LV (1994):
*The Handbook of Research Synthesis*.
Newbury Park, CA: Russell Sage Foundation

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 | ```
data(Fleiss1993bin)
m1 <- metabin(d.asp, n.asp, d.plac, n.plac,
data = Fleiss1993bin, studlab = study,
sm = "RR", method = "I")
m1
metainf(m1)
metainf(m1, pooled = "random")
forest(metainf(m1))
forest(metainf(m1), layout = "revman5")
forest(metainf(m1, pooled = "random"))
metainf(m1, sortvar = study)
metainf(m1, sortvar = 7:1)
m2 <- update(m1, title = "Fleiss1993bin meta-analysis",
backtransf = FALSE)
metainf(m2)
data(Fleiss1993cont)
m3 <- metacont(n.psyc, mean.psyc, sd.psyc, n.cont, mean.cont, sd.cont,
data = Fleiss1993cont, sm = "SMD")
metainf(m3)
``` |

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