Kaplan-Meier Survival Analysis for Single Group

Performs Kaplan-Meier survival analysis for a single group of subjects. This function estimates survival probabilities over time and provides summary statistics including median survival time with confidence intervals. It generates both tabular results and Kaplan-Meier survival plots.

Details

The function performs the following analyses:

• Kaplan-Meier survival estimation using survival package

• Calculation of median survival time with 95% confidence intervals

• Summary statistics (number of subjects, number of events)

• Kaplan-Meier survival curve visualization

• Optional confidence interval bands on plots

The function requires two variables:

• Time variable: Time to event or censoring (continuous, positive values)

• Status variable: Event indicator (0 = censored, 1 = event occurred)

Data Requirements

For valid survival analysis, ensure:

• Time values are non-negative and numeric

• Status values are binary (0/1 or equivalent)

• At least some events have occurred (not all censored)

• Sufficient sample size for reliable estimates

References

Kaplan, E. L., & Meier, P. (1958). Nonparametric estimation from incomplete observations. Journal of the American Statistical Association, 53(282), 457-481.

See also

survival, survfit

Author

ClinicoPath Development Team

Super classes

jmvcore::Analysis -> ClinicoPath::oneSurvivalBase -> oneSurvivalClass

Methods

Public methods

• oneSurvivalClass$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$translate()
• ClinicoPath::oneSurvivalBase$initialize()

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Method clone()

The objects of this class are cloneable with this method.

Usage

oneSurvivalClass$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.

Examples

if (FALSE) { # \dontrun{
# Basic survival analysis
result <- oneSurvival(
  data = lung_data,
  times = "survival_time",
  status = "death_indicator"
)

# With confidence intervals and time units
result <- oneSurvival(
  data = clinical_data,
  times = "days_to_event",
  status = "event_occurred",
  ciyn = TRUE,
  timeunits = "Days"
)
} # }