Confidence Interval Approach for the Number of Subjects Required
Source:R/kappasizeci.b.R
kappaSizeCIClass.RdCalculate sample size for interobserver agreement studies using Cohen's kappa statistic. This function provides confidence interval-based sample size determination for studies evaluating agreement between raters across different numbers of outcome categories.
Details
The function uses the kappaSize package to calculate required sample sizes for kappa coefficient confidence intervals. It supports 2-5 outcome categories and 2-6 raters, with customizable precision requirements and significance levels. Both two-sided and one-sided confidence intervals are supported.
Super classes
jmvcore::Analysis -> meddecide::kappaSizeCIBase -> kappaSizeCIClass
Methods
Inherited methods
jmvcore::Analysis$.createImage()jmvcore::Analysis$.createImages()jmvcore::Analysis$.createPlotObject()jmvcore::Analysis$.load()jmvcore::Analysis$.render()jmvcore::Analysis$.save()jmvcore::Analysis$.savePart()jmvcore::Analysis$.setCheckpoint()jmvcore::Analysis$.setParent()jmvcore::Analysis$.setReadDatasetHeaderSource()jmvcore::Analysis$.setReadDatasetSource()jmvcore::Analysis$.setResourcesPathSource()jmvcore::Analysis$.setStatePathSource()jmvcore::Analysis$addAddon()jmvcore::Analysis$asProtoBuf()jmvcore::Analysis$asSource()jmvcore::Analysis$check()jmvcore::Analysis$init()jmvcore::Analysis$optionsChangedHandler()jmvcore::Analysis$postInit()jmvcore::Analysis$print()jmvcore::Analysis$readDataset()jmvcore::Analysis$run()jmvcore::Analysis$serialize()jmvcore::Analysis$setError()jmvcore::Analysis$setStatus()jmvcore::Analysis$translate()meddecide::kappaSizeCIBase$initialize()