Conditional power and predictive power based on right censored data with supplementary auxiliary information.
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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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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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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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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
Semiparametric modeling of the right-censored time-series based on different censorship solution techniques
Sign Up to like & getrecommendations! 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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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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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
Concordance indices with left-truncated and right-censored data.
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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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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
On Suitability of Mixture of Generalized Exponential Models in Modeling Right-Censored Medical Datasets Using Conditional Expectations
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DOI: 10.1155/2022/7363646
Abstract: The exploration of suitable models for modeling censored medical datasets is of great importance. There are numerous studies dealing with modeling the censored medical datasets. However, majority of the earlier contributions have utilized the conventional… read more here.
Keywords: right censored; medical datasets; mixture; models modeling ... See more keywords
Right-Censored Time Series Modeling by Modified Semi-Parametric A-Spline Estimator
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DOI: 10.3390/e23121586
Abstract: This paper focuses on the adaptive spline (A-spline) fitting of the semiparametric regression model to time series data with right-censored observations. Typically, there are two main problems that need to be solved in such a… read more here.
Keywords: time series; spline estimator; spline; estimator ... See more keywords