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Testing inference in accelerated failure time models
(Canadian Center of Science and Education, 2014-04)
Surviving fully Bayesian nonparametric regression models
(Oxford University Press, 2013)
This chapter compares two Bayesian nonparametric models that generalize the accelerated failure time model, based on recent work on probability models for predictor-dependent probability distributions. It begins by reviewing ...
Robust accelerated failure time regression
(Elsevier Science, 2011-01)
Robust estimators for accelerated failure time models with asymmetric (or symmetric) error distribution and censored observations are proposed. It is assumed that the error model belongs to a log-location-scale family of ...
Testing homogeneity in Weibull-regression models
(Biometrical Journal, 2022)
Prediction of failure probability of oil wells
(Brazilian Statistical Association, 2014)
Fully Nonparametric Regression Modelling of Misclassified Censored Time-to-Event Data
(2015)
We propose a fully nonparametric modelling approach for time-to-event regression data, when the response of interest can only be determined to lie in an interval obtained from a sequence of examination times and the ...
spsurv: an R package for semi-parametric survival analysis
(Universidade Federal de Minas GeraisBrasilICX - DEPARTAMENTO DE ESTATÍSTICAPrograma de Pós-Graduação em EstatísticaUFMG, 2020-02-17)
Software development innovations and advances in computing have enabled more
complex and less costly computations in medical research (survival analysis), engineering
studies (reliability analysis), and social sciences ...
Testing homogeneity inWeibull error in variablesmodels
(Wiley, 2020)
Different Approaches for Modeling Grouped Survival Data: A Mango Tree Study
(AMER STATISTICAL ASSOC & INT BIOMETRIC SOC, 2009)
Interval-censored survival data, in which the event of interest is not observed exactly but is only known to occur within some time interval, occur very frequently. In some situations, event times might be censored into ...
A common cause failure model for components under age-related degradation
(Elsevier, 2020)
This paper discusses component age-related degradation and failure initiated from a shared cause and coupling factor (or mechanism) and the likelihood of the resulting common cause failure (CCF). For these components a CCF ...