EventData
EventData[{e1,e2,…}]
represents event data with explicitly specified censoring ei.
EventData[{e1,e2,…},{ci1,ci2,…}]
represents event data ei with censoring indicators cii.
EventData[{e1,e2,…},{cc1,cc2,…}]
represents event data ei with censoring counts cci.
EventData[{e1,e2,…},cspec,{tr1,tr2,…}]
represents event data with censoring and truncation tri.
Details
- EventData augments data with censoring and truncation information.
- The following event specifications can be used for ei:
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ti no censoring; event happens at tti {ti,∞} right censoring; event happens at some t where ti≤t {-∞,ti} left censoring; event happens at some t where t<ti {ti,min,ti,max} interval censoring; event happens at some t where ti,min<t≤ti,max - The following censoring indicators can be used for cii:
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0, None {t,t} no censoring 1, Right {t,∞} right censoring -1,Left {-∞,t} left censoring - The following count specifications can be used for cci:
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{ ni} ni events at ei {ni,ri} ni events and ri right-censored events at ei {ni,ri,li} ni events, ri right-censored events, and li left-censored events at ei - The following event specifications can be used for tri:
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ti,{ti,∞} left truncation; observable for {-∞,ti} right truncation; observable for {ti,min,ti,max} interval truncation; observable over ti,min≤t≤ti,max - EventData can be used in statistics functions including:
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Mean,Variance,… descriptive statistics functions EmpiricalDistribution,… nonparametric distribution estimation EstimatedDistribution,… parametric distribution estimation SurvivalModelFit,… functions for survival analysis - 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:
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"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
Examples
open allclose allScope (12)
Basic Uses (5)
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:
Specifying Censoring and Truncation (7)
Specify right censoring in a number of ways:
The objects all represent the same four observations where the third is right censored:
The objects all represent the same four observations where the third is left censored:
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:
The objects are equivalent representations of left-truncated, non-censored data:
The object represents right-truncated, non-censored data:
Applications (1)
Properties & Relations (1)
Descriptive statistics are based on the underlying SurvivalDistribution:
Sample estimates are given when they differ from population estimates:
Text
Wolfram Research (2012), EventData, Wolfram Language function, https://reference.wolfram.com/language/ref/EventData.html.
CMS
Wolfram Language. 2012. "EventData." Wolfram Language & System Documentation Center. Wolfram Research. https://reference.wolfram.com/language/ref/EventData.html.
APA
Wolfram Language. (2012). EventData. Wolfram Language & System Documentation Center. Retrieved from https://reference.wolfram.com/language/ref/EventData.html