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EventData—Wolfram Language Documentation

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• See Also
  • WeightedData
  • SurvivalModelFit
  • CoxModelFit
  • LogRankTest
• Related Guides
  • Probability & Statistics
  • Survival Analysis
  • Reliability
  • Descriptive Statistics
  • Scientific Data Analysis
  • Life Sciences & Medicine: Data & Computation
  • Tabular Modeling

EventData[{e₁,e₂,…}]

represents event data with explicitly specified censoring e_i.

EventData[{e₁,e₂,…},{ci₁,ci₂,…}]

represents event data e_i with censoring indicators ci_i.

EventData[{e₁,e₂,…},{cc₁,cc₂,…}]

represents event data e_i with censoring counts cc_i.

EventData[{e₁,e₂,…},cspec,{tr₁,tr₂,…}]

represents event data with censoring and truncation tr_i.

• EventData augments data with censoring and truncation information.
• The following event specifications can be used for e_i:
• t_i no censoring; event happens at tt_i {t_i,∞} right censoring; event happens at some t where t_i≤t {-∞,t_i} left censoring; event happens at some t where t<t_i {t_i,min,t_i,max} interval censoring; event happens at some t where t_i,min<t≤t_i,max
• The following censoring indicators can be used for ci_i:
• 0, None {t,t} no censoring 1, Right {t,∞} right censoring -1,Left {-∞,t} left censoring
• The following count specifications can be used for cc_i:
• { n_i} n_i events at e_i {n_i,r_i} n_i events and r_i right-censored events at e_i {n_i,r_i,l_i} n_i events, r_i right-censored events, and l_i left-censored events at e_i
• The following event specifications can be used for tr_i:
• EventData can be used in statistics functions including:
• Properties of EventData can be obtained by specifying EventData[…]["property"].
• A list of available properties can be obtained using EventData[…]["Properties"].
• EventData has the following properties:
• "CensoringIndicators" censoring indicators {ci₁,…} "CensoredData" censored event intervals in the form {{t₁,∞},…} "EmpiricalPDF" event locations and corresponding estimated weights "InputData" input event specification {e₁,…} "MetaInformation" list of meta information rules "TruncationIntervals" truncation intervals {tr₁,…} "CensoringType" most general type of censoring present "TruncationType" most general type of truncation present

Indicate right-censored data values:

Compute some descriptive statistics:

Compute descriptive statistics for event data:

Fit nonparametric distributions to event data:

Fit parametric distributions to event data:

Plot the distribution and the empirical estimate:

Fit a model using SurvivalModelFit:

Empirical survival function with confidence bands:

Fit a model with covariates using CoxModelFit:

Parameter estimates:

A comparison of the survival rates for the two groups:

Specify right censoring in a number of ways:

The objects all represent the same four observations where the third is right censored:

Left censoring:

The objects all represent the same four observations where the third is left censored:

Interval censoring:

The object represents four observations where the third is interval censored:

Use the count specifications to indicate multiple equivalent observations:

The objects each represent the same nine observations:

Specify left truncation:

The objects are equivalent representations of left-truncated, non-censored data:

Specify right truncation:

The object represents right-truncated, non-censored data:

Data can be both censored and truncated:

The object represents right-censored, left-truncated data:

Mark right censoring on a plot of an estimated survival function:

The estimated survival function:

Create the censoring markers:

Show the censoring markers with the plot of the estimated survival:

Descriptive statistics are based on the underlying SurvivalDistribution:

Sample estimates are given when they differ from population estimates:

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