Results 31 to 40 of about 143,582 (164)
Assessment of left-censored data treatment methods using stochastic simulation
RBRH, 2023 The paper evaluates the influence of size series, percentage of censored data, and coefficients of variation used to generate synthetic series on the estimation of means, standard deviations, coefficients of variation, and medians in series with censored
Fábio Henrique Rodrigues da Silva +1 more
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Cost Analysis With Censored Data [PDF]
Medical Care, 2009 Economic evaluation of medical interventions has become an accepted, and often required, adjunct to the standard effectiveness and safety assessment in clinical research. However, the statistical analysis can be challenging due to censored cost data, as commonly obtained in medical studies.
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Model Calibration With Censored Data
Technometrics, 2018 AbstractThe purpose of model calibration is to make the model predictions closer to reality. The classical Kennedy-O'Hagan approach is widely used for model calibration, which can account for the inadequacy of the computer model while simultaneously estimating the unknown calibration parameters.
Fang Cao +3 more
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Quantile Regression for Doubly Censored Data [PDF]
Biometrics, 2011 SummaryDouble censoring often occurs in registry studies when left censoring is present in addition to right censoring. In this work, we propose a new analysis strategy for such doubly censored data by adopting a quantile regression model. We develop computationally simple estimation and inference procedures by appropriately using the embedded ...
Ji, Shuang +3 more
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FHtest: An R Package for the Comparison of Survival Curves with Censored Data
Journal of Statistical Software, 2017 The Fleming-Harrington class for right-censored data was first introduced by Harrington and Fleming (1982). This class is widely used in survival analysis studies and it is a subset of the so-called weighted logrank test statistics.
Ramon Oller, Klaus Langohr
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Fitting Penalized Estimator for Sparse Covariance Matrix with Left-Censored Data by the EM Algorithm
MathematicsEstimating the sparse covariance matrix can effectively identify important features and patterns, and traditional estimation methods require complete data vectors on all subjects.
Shanyi Lin +4 more
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The Odds Exponential-Pareto IV Distribution: Regression Model and Application
Entropy, 2020 This article introduces the odds exponential-Pareto IV distribution, which belongs to the odds family of distributions. We studied the statistical properties of this new distribution.
Lamya A. Baharith +2 more
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Animals, 2021 This study aimed to evaluate the impact of different proportions (i.e., 20%, 40%, 60% and 80%) of censored (CEN) or penalized (PEN) data in the prediction of breeding values (EBVs), genetic parameters, and computational efficiency for two longevity ...
Hinayah R. Oliveira +3 more
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ICT Express, 2019 In this paper, a specific type of incomplete data in Wi-Fi fingerprinting based indoor positioning systems (WF-IPS) is presented: censored and dropped mixture data. For fitting this type of data, a censored and dropped Gaussian Mixture Model (CD-GMM) was
Trung Kien Vu +2 more
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Censored Quantile Regression Redux
Journal of Statistical Software, 2008 Quantile regression for censored survival (duration) data offers a more flexible alternative to the Cox proportional hazard model for some applications. We describe three estimation methods for such applications that have been recently incorporated into ...
Roger Koenker
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