cochran.Q: Cochran's Q statistic
In mada: Meta-Analysis of Diagnostic Accuracy
cochran.Q R Documentation
Cochran's Q statistic
Description
Given estimates from primary studies and the weights of the single studies calculate Cochran's Q as a measure of heterogeneity.
Usage
cochran.Q(x, weights)
Arguments
x
numeric, typically a vector of effect sizes like (log-)OR
weights
numeric, see Details
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.
Value
A named vector of length 3. First element is Q followed by the p-value and the degrees of freedom.
Author(s)
Philipp Doebler <philipp.doebler@googlemail.com>
mada documentation built on Sept. 9, 2022, 3:01 p.m.
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| cochran.Q | R Documentation |
Cochran's Q statistic
Description
Given estimates from primary studies and the weights of the single studies calculate Cochran's Q as a measure of heterogeneity.
Usage
cochran.Q(x, weights)
Arguments
x |
numeric, typically a vector of effect sizes like (log-)OR |
weights |
numeric, see Details |
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.
Value
A named vector of length 3. First element is Q followed by the p-value and the degrees of freedom.
Author(s)
Philipp Doebler <philipp.doebler@googlemail.com>
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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