Results 1 to 10 of about 143,516 (164)
Use of improved memory type control charts for monitoring cancer patients recovery time censored data [PDF]
Control charts are a statistical approach for monitoring cancer data that can assist discover patterns, trends, and unusual deviations in cancer-related data across time.
Syed Muhammad Muslim Raza +6 more
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The censored quantile regression method is a parameter estimation method that can be used to overcome censored data and BLUE (Best Linear Unbiased Estimator) assumptions that are not met.
Sarmada Sarmada +2 more
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Analysis of censored data [PDF]
Analyzing events over time is often complicated by incomplete, or censored, observations. Special non-parametric statistical methods were developed to overcome difficulties in summarizing and comparing censored data. Life-table (actuarial) method and Kaplan-Meier method are described with an explanation of survival curves.
Lucijanic, Marko, Petrovecki, Mladen
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Random forest for spatial prediction of censored response variables
The spatial prediction of a continuous response variable when spatially exhaustive predictor variables are available within the region under study has become ubiquitous in many geoscience fields. The response variable is often subject to detection limits
Francky Fouedjio
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On Recensoring for Censored Paired Data [PDF]
In comparing two treatment regimens, a matched-pair design is often used for nonhomogeneous experimental units. A standard method of analyzing the resulting data is to consider the difference within pairs, so that the nuisance parameters due to the heterogeneity between pairs can be eliminated and the parameter of interest—the treatment effect—can be ...
J.J. Lee, K.C. Li, R.M. Elashoff
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Nonlinear Regression With Censored Data [PDF]
Suppose that the random vector (X, Y) satisfies the regression model Y = m(X) + σ(X)ϵ, where m (·) = E(Y||·) belongs to some parametric class {mθ(·):θ∈} of regression functions, σ2(·) = var(Y||·) is unknown, and ϵ is independent of X. The response Y is subject to random right censoring, and the covariate X is completely observed.
Cédric Heuchenne, Ingrid Van Keilegom
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Wavelet Support Vector Censored Regression
Learning methods in survival analysis have the ability to handle censored observations. The Cox model is a predictive prevalent statistical technique for survival analysis, but its use rests on the strong assumption of hazard proportionality, which can ...
Mateus Maia +3 more
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The Compound Gompertz Distribution [PDF]
In this study the properties of the compound Gompertz distribution have been studied. Parameters have been estimated for non-censored, for singly censored and for progressively censored data.
Magued Osman, Mona Abdel Shafy
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An Approximation for The Censored Values In Linear Regression Models [PDF]
Least squares estimation of the unknown parameters of the linear regression model with censored data from the right has been discussed by many authors.
S. A. Salem, M.A.T. El-Shahat
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Sensitivity of censored data analysis to determine the characteristic value of structural timber
In structural timber tests, unintended failure mechanisms occur frequently in specimens and their results are called censored data. There are two censored data analysis: censored maximum likelihood estimation (CMLE) and Kaplan–Meier (KM) method.
Sung-Jun Pang +3 more
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