predict.riley: Prediction Interval
In metamisc: Meta-Analysis of Diagnosis and Prognosis Research Studies
predict.riley R Documentation
Prediction Interval
Description
Calculates a prediction interval for the summary parameters of Riley's alternative model for bivariate random-effects
meta-analysis. This interval predicts in what range future observations will fall given what has already been observed.
Usage
## S3 method for class 'riley'
predict(object, ...)
Arguments
object
A riley object.
...
Additional arguments (currently ignored)
Details
Prediction intervals are based on Student's t-distribution with (numstudies - 5) degrees of freedom. The width of
the interval is specified by the significance level chosen during meta-analysis.
Value
Data frame containing prediction intervals with the summary estimates beta1 and beta2
(for effect size data), or with the mean sensitivity and false positive rate (for diagnostic test accuracy data).
Author(s)
Thomas Debray <thomas.debray@gmail.com>
metamisc documentation built on Sept. 25, 2022, 5:05 p.m.
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| predict.riley | R Documentation |
Prediction Interval
Description
Calculates a prediction interval for the summary parameters of Riley's alternative model for bivariate random-effects meta-analysis. This interval predicts in what range future observations will fall given what has already been observed.
Usage
## S3 method for class 'riley' predict(object, ...)
Arguments
object |
A |
... |
Additional arguments (currently ignored) |
Details
Prediction intervals are based on Student's t-distribution with (numstudies - 5) degrees of freedom. The width of the interval is specified by the significance level chosen during meta-analysis.
Value
Data frame containing prediction intervals with the summary estimates beta1 and beta2
(for effect size data), or with the mean sensitivity and false positive rate (for diagnostic test accuracy data).
Author(s)
Thomas Debray <thomas.debray@gmail.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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