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Constrained Kaplan–Meier curve and empirical likelihood
Author(s) -
Zhou Mai,
Yang Yifan
Publication year - 2017
Publication title -
wiley interdisciplinary reviews: computational statistics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.693
H-Index - 38
eISSN - 1939-0068
pISSN - 1939-5108
DOI - 10.1002/wics.1400
Subject(s) - survival analysis , computer science , algorithm , maximum likelihood , statistics , mathematics , econometrics
The Kaplan–Meier curve and the namesake Kaplan–Meier 1958 paper is the most cited statistical paper in the history. We study the error analysis of the popular Kaplan–Meier curve. We describe in detail and recommend a method based on the calculation of constrained Kaplan–Meier curve and the recently developed Empirical Likelihood theory. Examples are given illustrating how such error analysis are carried out, using the software R and package KMC. WIREs Comput Stat 2017, 9:e1400. doi: 10.1002/wics.1400 This article is categorized under: Statistical and Graphical Methods of Data Analysis > EM Algorithm Algorithms and Computational Methods > Maximum Likelihood Methods Algorithms and Computational Methods > Numerical Methods