“One of the Top Most Cited Statistical Papers in History.
‘Nonparametric Estimation from Incomplete Observations’ by Kaplan and Meier (1958).
- One of the most cited statistical papers of all time
- As of today, 66549 citations listed on Google Scholar
- Published in 1958
- Authors: by Kaplan and Meier, two American statisticians
The scientific article introduces the Kaplan-Meier estimator, a nonparametric method for estimating survival functions from incomplete data.
This method is used when observations analysis are censored: when subjects drop out from the study early or never experience the event of interest by the time the study ends.
Brilliant work about censored observations.
I cannot believe that it’s been 25 years since I first taught a survival analysis (biomedical research)/reliability (engineering) course!
When did you first hear about this paper?
Feel free to share you experience in using this method.”
“Nonparametric Estimation from Incomplete Observations”
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