Results 231 to 240 of about 95,030 (266)

Identifying and modelling prognostic factors with censored data

Statistics in Medicine, 2000
A major issue in the analysis of diseases is the identification and assessment of prognostic factors relevant to the development of the illness. Statistical analyses within the proportional hazards framework suffer from a lack of flexibility due to stringent model assumptions such as additivity and time-constancy of effects.
A, Klinger, F, Dannegger, K, Ulm
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Confidence Intervals on Regression Models with Censored Data

Communications in Statistics - Simulation and Computation, 2013
Stute (1993, Consistent estimation under random censorship when covariables are present. Journal of Multivariate Analysis 45, 89–103) proposed a new method to estimate regression models with a censored response variable using least squares and showed the consistency and asymptotic normality for his estimator. This article proposes a new bootstrap-based
Jesus Orbe, Vicente Núñez-Antón
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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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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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On constant-sum models for censored survival data

Biometrika, 1979
SUMMARY Williams & Lagakos (1977) consider a class of models for censored survival data in which the censoring and survival mechanisms are related by what is called a constant-sum condition. It is shown that the constant-sum condition is equivalent to a simple relationship between hazard functions.
Kalbfleisch, J. D., MacKay, R. J.
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Piecewise Cox models with right-censored data

Communications in Statistics - Simulation and Computation, 2017
ABSTRACTWe study a general class of piecewise Cox models. We discuss the computation of the semi-parametric maximum likelihood estimates (SMLE) of the parameters, with right-censored data, and a simplified algorithm for the maximum partial likelihood estimates (MPLE).
George Y. C. Wong, Michael P. Osborne, Qinggang Diao, Qiqing Yu   +3 more
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Modeling censored-in-the-middle condom use data

AIDS Care, 2005
Many HIV prevention programs seek to reduce the risk of infection through increases in condom use. Condom use is often expressed as a proportion: the number of sexual contacts in which a condom is used divided by the total number of sexual contacts.
S L, Hershberger, D G, Fisher, G L, Reynolds   +2 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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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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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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