Results 281 to 290 of about 100,255 (311)

Modelling citation age data with right censoring

Scientometrics, 2005
Klaus Fuchs, during his years in England as an immigrant, has written 20 scientific papers. One of these papers, published in 1938, became a fundamental text in solid state physics and for the development of microelectronics in succeeding decades. It was cited more than 1200 times in the period from 1945 until 2003.
Jesús Basulto Santos, Francisco Javier Ortega Irizo   +1 more
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M-estimation in regression models for censored data

Journal of Statistical Planning and Inference, 2007
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Bayesian Neural Network Models for Censored Data

Biometrical Journal, 1997
AbstractNeural networks are considered by many to be very promising tools for classification and prediction. The flexibility of the neural network models often result in over‐fit. Shrinking the parameters using a penalized likelihood is often used in order to overcome such over‐fit.
Faraggi, D., Simon, R., Yaskil, E., Kramar, A.   +3 more
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Hierarchical Dependency Models for Multivariate Survival Data with Censoring

Lifetime Data Analysis, 2000
A family of partial likelihood logistic models is proposed for clustered survival data that are reported in discrete time and that may be censored. The possible dependence of individual survival times within clusters is modeled, while distinct clusters are assumed to be independent. Two types of clusters are considered.
Huber, Catherine, Gross, S.
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A Proportional Hazards Model for Arbitrarily Censored and Truncated Data

Biometrics, 1996
Turnbull (1976, Journal of Royal Statistical Society, Series B 38, 290-295) proposed a method for nonparametric estimation of the distribution function when the data are incomplete because of censoring and truncation. However, as noted by Frydman (1994, Journal of Royal Statistical society, Series B 56, 71-74), Turnbull's method has to be modified to ...
Alioum, Ahmadou, Commenges, Daniel
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Variational Bayes for Mixture Models with Censored Data

2019
In this paper, we propose a variational Bayesian algorithm for mixture models that can deal with censored data, which is the data under the situation that the exact value is known only when the value is within a certain range and otherwise only partial information is available.
Masahiro Kohjima, Tatsushi Matsubayashi, Hiroyuki Toda   +2 more
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Prognostic Modeling with High Dimensional and Censored Data

2012
Designing linear prognostic models on the base of multivariate learning set with censored dependent variable is considered in the paper. The task of linear regression model designing has been reformulated here as a problem of testing the linear separability of two sets.
Leon Bobrowski, Tomasz Lukaszuk
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Linear Models, Random Censoring and Synthetic Data

Biometrika, 1987
Estimators for the linear model in the presence of censoring are available. A new extension of the least-squares estimator to censored data is equivalent to applying the ordinary least-squares estimator to synthetic times, time constructed by magnifying the gaps between successive order statistics.
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Censored Data Models

2020
Peter H. Westfall, Andrea L. Arias
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Mixed-effects models for censored data with autoregressive errors

Journal of Biopharmaceutical Statistics, 2021
Aldo M Garay, VÍCTOR H Lachos, Larissa A Matos   +2 more
exaly