Comprehensive Time Interval Calculator for Survival Analysis

Advanced time interval calculation tool designed for survival analysis, epidemiological studies, and person-time analysis. Provides robust date parsing, time interval calculation, landmark analysis, and comprehensive data quality assessment.

Value

List containing calculated intervals, filtered data, quality metrics, and metadata

Details

This function provides comprehensive time interval calculation capabilities including:

• Multiple date format parsing with automatic detection

• Flexible output units (days, weeks, months, years)

• Landmark analysis for conditional survival

• Person-time calculations for epidemiological studies

• Data quality assessment and validation

• Statistical summaries with confidence intervals

• Export capabilities for downstream analysis

Super classes

jmvcore::Analysis -> ClinicoPath::timeintervalBase -> timeintervalClass

Methods

Public methods

• timeintervalClass$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$translate()
• ClinicoPath::timeintervalBase$initialize()

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Method clone()

The objects of this class are cloneable with this method.

Usage

timeintervalClass$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.

Examples

# Basic time interval calculation:
timeinterval(
  data = study_data,
  dx_date = "diagnosis_date",
  fu_date = "followup_date",
  time_format = "ymd",
  output_unit = "months"
)

# With landmark analysis:
timeinterval(
  data = study_data,
  dx_date = "start_date",
  fu_date = "end_date",
  use_landmark = TRUE,
  landmark_time = 6,
  output_unit = "months"
)