Misclassification Bias Sensitivity Analysis

Assesses the impact of non-differential or differential misclassification of an exposure/classifier on observed effect estimates (OR, RR, RD). Uses matrix inversion correction and Monte Carlo simulation for CIs.

Super classes

jmvcore::Analysis -> ClinicoPath::misclassificationbiasBase -> misclassificationbiasClass

Methods

Public methods

• misclassificationbiasClass$clone()

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$translate()
• ClinicoPath::misclassificationbiasBase$initialize()

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Method clone()

The objects of this class are cloneable with this method.

Usage

misclassificationbiasClass$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.