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Journal ArticleDOI

GFREG: a computer program for maximum likelihood regression using the Generalized F distribution.

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TLDR
A FORTRAN program is described for maximum likelihood estimation within the Generalized F family of distributions, which can be used to estimate regression parameters in a log-linear model for censored survival times with covariates.
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This article is published in Computer Methods and Programs in Biomedicine.The article was published on 1985-07-01. It has received 9 citations till now. The article focuses on the topics: Likelihood function & Restricted maximum likelihood.

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Citations
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A generalized F mixture model for cure rate estimation

TL;DR: The generalised F mixture model can relax the usual stronger distributional assumptions and allow the analyst to uncover structure in the data that might otherwise have been missed, illustrated by fitting the model to data from large-scale clinical trials with long follow-up of lymphoma patients.
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Examination of factors affecting freeway incident clearance times: a comparison of the generalized F model and several alternative nested models

TL;DR: In this paper, a series of parametric hazard duration models were developed, each assuming a different underlying probability distribution for the hazard function, and the generalized F distribution was shown to provide the best fit to the incident clearance time data.
Journal ArticleDOI

The log F: A Distribution for All Seasons

TL;DR: This work tries to convince readers that this flexible set of statistical models based on the logarithm of an F variate belongs in the tool box of applied statisticians and that it should be one of the first tools used in data exploration.
Journal ArticleDOI

A SAS macro for the joint modeling of longitudinal outcomes and multiple competing risk dropouts

TL;DR: A SAS macro implementation of a shared parameter model to accommodate the analysis of longitudinal outcomes in the presence of multiple competing survival/dropout events is presented.
Journal ArticleDOI

Generalized F distribution model with random parameters for estimating property damage cost in maritime accidents

TL;DR: In this article, a generalized F distribution model with random parameters was developed to estimate the ship property damage cost in maritime traffic accidents with 10 years' shipping accident data, and the model was applied to estimate ship damage cost.
References
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Journal ArticleDOI

A new look at the statistical model identification

TL;DR: In this article, a new estimate minimum information theoretical criterion estimate (MAICE) is introduced for the purpose of statistical identification, which is free from the ambiguities inherent in the application of conventional hypothesis testing procedure.
Journal ArticleDOI

Estimating the Dimension of a Model

TL;DR: In this paper, the problem of selecting one of a number of models of different dimensions is treated by finding its Bayes solution, and evaluating the leading terms of its asymptotic expansion.

Estimating the dimension of a model

TL;DR: In this paper, the problem of selecting one of a number of models of different dimensions is treated by finding its Bayes solution, and evaluating the leading terms of its asymptotic expansion.

Regression models and life tables (with discussion

David Cox
TL;DR: The drum mallets disclosed in this article are adjustable, by the percussion player, as to balance, overall weight, head characteristics and tone production of the mallet, whereby the adjustment can be readily obtained.
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