Timeline for how to choose a transformation for left heavy tailed data due to arbitrary upper limit imposed by experimenter?
Current License: CC BY-SA 3.0
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| Jun 9, 2017 at 23:34 | comment | added | Cliff AB |
@philsf survdiff is the log rank statistic. survfit is the KM estimator. You need not impute the censored value, but rather each response is represented as a tuple; a value and an indicator for whether that this is exact true value, or whether it is censored at that value. This is constructed as a Surv object. See ?survdiff for an example.
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| Jun 9, 2017 at 23:28 | comment | added | philsf |
Thank you for your (+1) answer. Indeed I use R. If my google-fu serves me well, you are referring to survdiff? A follow up question: in this case, should I arbitrarily replace censored data encoded as >1250 by 1250, or should I arbitrate a higher value in order to separate these from observations near the range limit (e.g., 1240)?
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| Jun 9, 2017 at 23:27 | vote | accept | philsf | ||
| Jun 7, 2017 at 20:12 | history | answered | Cliff AB | CC BY-SA 3.0 |