Articles with "right censored" as a keyword



Conditional power and predictive power based on right censored data with supplementary auxiliary information.

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Published in 2018 at "Statistics in medicine"

DOI: 10.1002/sim.7673

Abstract: Conditional power and predictive power provide estimates of the probability of success at the end of the trial based on the information from the interim analysis. The observed value of the time to event endpoint… read more here.

Keywords: information; conditional power; predictive power; power ... See more keywords

Nonparametric regression with right‐censored covariate via conditional density function

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Published in 2022 at "Statistics in Medicine"

DOI: 10.1002/sim.9343

Abstract: Censoring often occurs in data collection. This article, considers nonparametric regression when the covariate is censored under general settings. In contrast to censoring in the response variable in survival analysis, regression with censored covariates is… read more here.

Keywords: right censored; function; regression; nonparametric regression ... See more keywords

Regression modeling of restricted mean survival time for left‐truncated right‐censored data

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Published in 2022 at "Statistics in Medicine"

DOI: 10.1002/sim.9399

Abstract: The restricted mean survival time (RMST) is a clinically meaningful summary measure in studies with survival outcomes. Statistical methods have been developed for regression analysis of RMST to investigate impacts of covariates on RMST, which… read more here.

Keywords: right censored; censored data; regression; regression modeling ... See more keywords

Self‐reporting and screening: Data with right‐censored, left‐censored, and complete observations

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Published in 2022 at "Statistics in Medicine"

DOI: 10.1002/sim.9434

Abstract: We consider survival data that combine three types of observations: uncensored, right‐censored, and left‐censored. Such data arises from screening a medical condition, in situations where self‐detection arises naturally. Our goal is to estimate the failure‐time… read more here.

Keywords: right censored; patience time; methodology; left censored ... See more keywords
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Semiparametric modeling of the right-censored time-series based on different censorship solution techniques

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Published in 2020 at "Empirical Economics"

DOI: 10.1007/s00181-020-01944-x

Abstract: In this paper, we employ the penalized spline method to estimate the components of a right-censored semiparametric time-series regression model with autoregressive errors. Because of the censoring, the parameters of such a model cannot be… read more here.

Keywords: time series; time; right censored; modeling right ... See more keywords

Probability mapping of soil thickness by random survival forest at a national scale

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Published in 2019 at "Geoderma"

DOI: 10.1016/j.geoderma.2019.03.016

Abstract: Soil thickness (ST) is a crucial factor in earth surface modelling and soil storage capacity calculations (e.g., available water capacity and carbon stocks). However, the observed depths recorded in soil information systems for some profiles… read more here.

Keywords: censored data; soil thickness; soil; right censored ... See more keywords

Local composite partial likelihood estimation for length-biased and right-censored data

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Published in 2019 at "Journal of Statistical Computation and Simulation"

DOI: 10.1080/00949655.2019.1628963

Abstract: ABSTRACT Length-biased data, which are often encountered in engineering, economics and epidemiology studies, are generally subject to right censoring caused by the research ending or the follow-up loss. The structure of length-biased data is distinct… read more here.

Keywords: length; length biased; right censored; censored data ... See more keywords

Regression modeling of cumulative incidence function for left-truncated right-censored competing risks data: A modified pseudo-observation approach

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Published in 2025 at "Communications in Statistics - Theory and Methods"

DOI: 10.1080/03610926.2025.2458183

Abstract: Abstract Statistical methods have been developed for regression modeling of the cumulative incidence function (CIF) given left-truncated right-censored competing risks data. Nevertheless, existing methods typically involve complicated weighted estimating equations or non parametric conditional likelihood… read more here.

Keywords: right censored; regression modeling; left truncated; competing risks ... See more keywords

Conformal predictive intervals in survival analysis: a resampling approach.

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Published in 2024 at "Biometrics"

DOI: 10.1093/biomtc/ujaf063

Abstract: The distribution-free method of conformal prediction has gained considerable attention in computer science, machine learning, and statistics. Candès et al. extended this method to right-censored survival data, addressing right-censoring complexity by creating a covariate shift setting,… read more here.

Keywords: right censored; approach; intervals survival; conformal predictive ... See more keywords

Concordance indices with left-truncated and right-censored data.

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Published in 2022 at "Biometrics"

DOI: 10.1111/biom.13714

Abstract: In the context of time-to-event analysis, a primary objective is to model the risk of experiencing a particular event in relation to a set of observed predictors. The Concordance Index (C-Index) is a statistic frequently… read more here.

Keywords: index; censored data; right censored; left truncated ... See more keywords

Imputation-based Q-learning for optimizing dynamic treatment regimes with right-censored survival outcome.

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Published in 2023 at "Biometrics"

DOI: 10.1111/biom.13872

Abstract: Q-learning has been one of the most commonly used methods for optimizing dynamic treatment regimes (DTRs) in multi-stage decision making. Right-censored survival outcome poses a significant challenge to Q-Learning due to its reliance on parametric… read more here.

Keywords: right censored; treatment regimes; dynamic treatment; imputation ... See more keywords