Builds clinical integer-point scoring systems from regression models using three published methods: Sullivan/D'Agostino (2004), Schneeweiss (Mehta et al. 2016), and Beta10 (Zhang et al. 2017). Supports logistic (binary), Cox (time-to-event), linear (continuous), and ordinal (ordered categories) regression. Includes automatic variable categorization, calibration/ discrimination assessment, nomogram generation, score-to-outcome lookup, bootstrap validation, and TRIPOD compliance.
Super classes
jmvcore::Analysis -> clinicalscoreBase -> clinicalscoreClass
Methods
Inherited methods
jmvcore::Analysis$.createImage()jmvcore::Analysis$.createImages()jmvcore::Analysis$.createPlotObject()jmvcore::Analysis$.getSessionTemp()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()clinicalscoreBase$initialize()