Joint modelling of longitudinal response and time-to-event data using conditional distributions: a Bayesian perspective. [PDF]
J Appl Stat, 2022 Dutta S, Molenberghs G, Chakraborty A.
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Nonparametric lack-of-fit tests for parametric mean-regression models with censored data
We developed two kernel smoothing based tests of a parametric mean-regression model against a nonparametric alternative when the response variable is right-censored.
Patilea, V., Lopez, O.
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Regression modelling of interval censored data based on the adaptive ridge procedure. [PDF]
J Appl Stat, 2022 Bouaziz O, Lauridsen E, Nuel G.
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Kolmogorov Entropy for Convergence Rate in Incomplete Functional Time Series: Application to Percentile and Cumulative Estimation in High Dimensional Data. [PDF]
Entropy (Basel), 2023 Litimein O +4 more
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A Bayesian semiparametric method for analyzing length-biased data. [PDF]
J Appl Stat, 2021 Harun N, Cai B, Shen Y.
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Ultrahigh-dimensional sufficient dimension reduction for censored data with measurement error in covariates. [PDF]
J Appl Stat, 2022 Chen LP.
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Semiparametric regression methods for temporal processes subject to multiple sources of censoring. [PDF]
Can J Stat, 2020 Zhan T, Schaubel DE.
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Quantile association regression on bivariate survival data. [PDF]
Can J Stat, 2021 Chen LW, Cheng Y, Ding Y, Li R.
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Inference on a progressive type I interval-censored truncated normal distribution. [PDF]
J Appl Stat, 2020 Lodhi C, Tripathi YM.
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Conditional Inference on the Generalized Gamma Distribution Parameters
, 2022 Maswadah M.
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