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A copula-based Markov chain model for serially dependent event times with a dependent terminal event
Xin Wei Huang,
Weijing Wang
, Takeshi Emura
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此作品的通信作者
統計學研究所
研究成果
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14
引文 斯高帕斯(Scopus)
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Keyphrases
Asymptotic Normality
14%
Censoring Mechanism
14%
Colorectal Cancer Patients
14%
Copula
100%
Copula Model
28%
Dependent Censoring
14%
Dependent Events
100%
Estimating Function
14%
Estimation Method
14%
Event Time
100%
Interval Estimates
14%
Jackknife Method
14%
Likelihood Function
14%
Likelihood-based Methods
14%
Markov
14%
Markov Chain Model
100%
Markov Model
14%
Model Selection Strategy
14%
Recurrent Events
14%
Serial Dependence
28%
Simulation Study
14%
Survival Data
42%
Terminal Event
100%
Two-stage Estimation
14%
Weibull Distribution
14%
Mathematics
Asymptotic Normality
11%
Cancer Patient
11%
Copula
100%
Dependent Event
100%
Estimating Function
11%
Estimation Method
11%
Event Time
100%
Interval Estimate
11%
Jackknife Resampling
11%
Likelihood Function
11%
Markov Chain
100%
Model Selection
11%
Serial Dependence
22%
Simulation Study
11%
Survival Data
33%
Weibull Distribution
11%