Results 31 to 40 of about 23,423 (163)
Nonparametric predictive inference with right-censored data [PDF]
, 2002 This thesis considers nonparametric predictive inference for lifetime data that include right-censored observations. The assumption A((_m)) proposed by Hill in 1968 provides a partially specified predictive distribution for a future observation given ...
Yan, Ke-Jian
core
MathematicsIn survival analysis, interval-censored data and panel count data represent two prevalent types of incomplete data. Given that, within certain research contexts, the events of interest may simultaneously involve both data types, it is imperative to ...
Tong Wang +3 more
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Estimation of stochastic traffic capacity using extreme value theory and censoring: A case study in Salem, New Hampshire [PDF]
Archives of Transport, 2018 In this work, we introduce a method of estimating stochastic freeway capacity using elements of both extreme value theory and survival analysis. First, we define capacity data, or estimates of the capacity of the roadway, as the daily maximum flow values.
Eric M. LAFLAMME, Paul J. OSSENBRUGGEN
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Comparative Analysis of Picard and Bayesian Methods for Generalized Weibull: Parameter Estimation with Real Data Applications [PDF]
The Egyptian Statistical JournalBayesian methods are widely employed for parameter estimation but often depend on subjective prior specifications, which can impact their robustness. This study evaluates Picard’s approach as a numerical estimation methodology for the generalized Weibull
Mohamed Maswadah, Mostafa Shaaban
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, 2022 Nonparametric maximum likelihood estimation encompasses a group of classic methods to estimate distribution-associated functions from potentially censored and truncated data, with extensive applications in survival analysis.
Sham, Pak C +7 more
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Central Limit Theorem of the Recursive Estimate of Density Function Under Randomly Censored Data
StatsKernel density estimation for right-censored data has been extensively studied in the non-recursive setting, whereas recursive approaches adapted to censoring remain largely unexplored despite their considerable computational advantages in sequential ...
Meraou Mohammed Amine, Rabhi Abbes
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A practical simulation method to calculate sample size of group sequential trials for time-to-event data under exponential and Weibull distribution. [PDF]
PLoS ONE, 2012 Group sequential design has been widely applied in clinical trials in the past few decades. The sample size estimation is a vital concern of sponsors and investigators.
Zhiwei Jiang +4 more
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Nonparametric priors for vectors of survival functions [PDF]
The paper proposes a new nonparametric prior for two-dimensional vectors of survival functions (S1,S2). The definition we introduce is based on the notion of Lévy copula and it will be used to model, in a nonparametric Bayesian framework, two-sample ...
Antonio Lijoi, Ilenia Epifani
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BMC Medical Research Methodology, 2019 Background In clinical trials and survival analysis, participants may be excluded from the study due to withdrawal, which is often referred to as lost-to-follow-up (LTF). It is natural to argue that a disease would be censored due to death; however, when
Jinheum Kim, Jayoun Kim, Seong W. Kim
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Stats, 2022 The first hitting time of a boundary or threshold by the sample path of a stochastic process is the central concept of threshold regression models for survival data analysis.
Mei-Ling Ting Lee, George A. Whitmore
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