Abstract Details
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Activity Number:
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490
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Type:
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Contributed
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Date/Time:
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Wednesday, August 7, 2013 : 8:30 AM to 10:20 AM
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Sponsor:
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Section on Statistical Computing
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| Abstract - #308389 |
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Title:
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Analyzing Length-Biased Survival Data Using the R Package Lbiassurv
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Author(s):
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Pierre-Jérôme Bergeron*+ and Vahid Partovi Nia
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Companies:
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University of Ottawa and École Polytechnique Montréal
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Keywords:
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Length-bias ;
Nonparametric ;
Right-censoring ;
R package ;
Survival analysis ;
EM algorithm
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Abstract:
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A how-to guide for using the R package lbiassurv, for parametric and nonparametric analysis of length-biased right-censored data. It includes simulation functions, nonparametric maximum likelihood estimator (NPMLE) of the bias-corrected survival curve using EM algorithm by Vardi with bootstrap confidence bands, parametric analysis using a variety of standard survival models (Weibull, log-normal, log-logistic and more), one-sample goodness-of-fit test, some graphical methods and tests for stationarity of incidence for left-truncated data.
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Authors who are presenting talks have a * after their name.
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