Compute Descriptive Statistics from Censored and Truncated Data 

Create EventData representing censored event times.

In[1]:=

X \[ScriptCapitalD] = EventData[{10, 7, 32, 23, 22, 6, 16, 34, 32, 25, 11, 20, 19, 6, 17, 35, 6, 13, 9, 6, 10}, {0, 0, 1, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 0, 1, 1, 0, 0, 1, 1, 1}];

Right-censored events are only known to have occurred on an interval .

In[2]:=

X SurvivalModelFit[\[ScriptCapitalD]]["EventMatrixPlot"]

Out[2]=

The median survival time based on this data.

In[3]:=

X Median[\[ScriptCapitalD]]

Out[3]=

The probability an individual dies before , given that he or she survives to .

In[4]:=

X Probability[t < 20 \[Conditioned] t >= 10, t \[Distributed] \[ScriptCapitalD]]

Out[4]=

A collection of descriptive statistics computed directly from the same EventData.