Joint Frailty Models for Recurrent Events — jointfrailty • ClinicoPath

Joint frailty models for simultaneous analysis of recurrent and terminal events. This analysis models both the recurrent event process and terminal event process jointly, accounting for their association through shared frailty terms and providing comprehensive risk assessment for subjects experiencing multiple types of events.

Usage

jointfrailty(
  data,
  subjectID,
  time,
  event,
  terminal_time,
  terminal_event,
  covariates,
  recurrent_covariates,
  terminal_covariates,
  frailty_distribution = "gamma",
  recurrent_baseline = "weibull",
  terminal_baseline = "weibull",
  association_type = "shared_frailty",
  confidence_level = 0.95,
  max_iterations = 1000,
  convergence_tolerance = 1e-06,
  include_predictions = TRUE,
  include_residuals = TRUE,
  plotRecurrentHazard = TRUE,
  plotTerminalHazard = TRUE,
  plotFrailtyDistribution = TRUE,
  plotSurvivalPredictions = FALSE,
  plotResiduals = FALSE,
  showEducation = TRUE,
  showInterpretation = TRUE,
  exportResults = FALSE
)

Arguments

data: .
subjectID: .
time: .
event: .
terminal_time: .
terminal_event: .
covariates: .
recurrent_covariates: .
terminal_covariates: .
frailty_distribution: .
recurrent_baseline: .
terminal_baseline: .
association_type: .
confidence_level: .
max_iterations: .
convergence_tolerance: .
include_predictions: .
include_residuals: .
plotRecurrentHazard: .
plotTerminalHazard: .
plotFrailtyDistribution: .
plotSurvivalPredictions: .
plotResiduals: .
showEducation: .
showInterpretation: .
exportResults: .

Value

A results object containing:

`results$todo`					a html
`results$modelfit`					a table
`results$recurrentCoefficients`					a table
`results$terminalCoefficients`					a table
`results$frailtyParameters`					a table
`results$associationMeasures`					a table
`results$individualPredictions`					a table
`results$residualAnalysis`					a table
`results$educationalContent`					a html
`results$interpretationContent`					a html
`results$recurrentHazardPlot`					an image
`results$terminalHazardPlot`					an image
`results$frailtyPlot`					an image
`results$predictionsPlot`					an image
`results$residualsPlot`					an image
`results$exportTable`					a table

Tables can be converted to data frames with asDF or as.data.frame. For example:

results$modelfit$asDF

as.data.frame(results$modelfit)

Examples

data('histopathology', package='ClinicoPath')