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

Repeatedly fits the specified model, leaving out one study at a time.

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`x` |
an object of class |

`formula` |
an object of class |

`hypothesis` |
a hypothesis, or |

`n.imp` |
number of imputations of NSUEs per study. |

`maxiter` |
maximum number of iterations in the REML estimation of |

`tol` |
tolerance in the REML estimation of |

`...` |
other arguments (currently ignored). |

Use `nsue`

, `smc_from_t`

, `smd_from_t`

or `zcor_from_r`

to create objects of class `"nsue"`

.

Models for `meta`

and `leave1out`

are specified symbolically. The `formula`

is a series of terms which specify a linear predictor for `x`

. A formula specification of the form `first + second`

indicates a multiple regression by `first`

and `second`

. A specification of the form `first:second`

indicates the interaction of `first`

with `second`

. The specification `first*second`

is the same as `first + second + first:second`

.

Each hypothesis must be a matrix (or vector) giving linear combinations of coefficients by rows.

`leave1out`

returns an object of class `"leave1out.nsue"`

, which is a list containing a list for each iteration with the component `study`

(the study discarded) and the component `meta`

, which is an object of class `"meta.nsue"`

.

The functions `print`

and `summary`

may be used to print the details or a summary of the results.

Joaquim Radua

Radua, J., Schmidt, A., Borgwardt, S., Heinz, A., Schlagenhauf, F., McGuire, P., Fusar-Poli, P. (2015)
Ventral striatal activation during reward processing in psychosis. A neurofunctional meta-analysis.
*JAMA Psychiatry*, **72**, 1243–51.

Albajes-Eizagirre, A., Solanes, A, Radua, J. (2018)
Meta-analysis of non-statistically significant unreported effects.
*Statistical Methods in Medical Research*, in Press.

`nsue`

, `smc_from_t`

, `smd_from_t`

and `zcor_from_r`

for creating objects of class `"nsue"`

.

`meta`

for conducting a meta-analysis.

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