cochran.Q | R Documentation |

Given estimates from primary studies and the weights of the single studies calculate Cochran's Q as a measure of heterogeneity.

cochran.Q(x, weights)

`x` |
numeric, typically a vector of effect sizes like (log-)OR |

`weights` |
numeric, see Details |

In fixed effects settings the weights are often inverse proportional to the variances of the primary studies. Cochran's Q is known to have low power to detect heterogeneity.

A named vector of length 3. First element is `Q`

followed by the `p-value`

and the degrees of freedom.

Philipp Doebler <philipp.doebler@googlemail.com>

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