Suppr超能文献

GFREG:一个使用广义F分布进行最大似然回归的计算机程序。

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

作者信息

Hogg S A, Ciampi A

出版信息

Comput Methods Programs Biomed. 1985 Jul;20(2):201-15. doi: 10.1016/0169-2607(85)90035-5.

Abstract

A FORTRAN program is described for maximum likelihood estimation within the Generalized F family of distributions. It can be used to estimate regression parameters in a log-linear model for censored survival times with covariates, for which the error distribution may have a great variety of shapes, including most distributions of current use in biostatistics. The optimization is performed by an algorithm based on the generalized reduced gradient method. A stepwise variable search algorithm for covariate selection is included in the program. Output features include: model selection criteria, standard errors of parameter estimates, quantile and survival rates with their standard errors, residuals and several plots. An example based on data from Princess Margaret Hospital, Toronto, is discussed to illustrate the program's capabilities.

摘要

描述了一个用于广义F分布族中最大似然估计的FORTRAN程序。它可用于估计带有协变量的删失生存时间的对数线性模型中的回归参数,其中误差分布可能具有多种形状,包括目前生物统计学中使用的大多数分布。优化是通过基于广义简约梯度法的算法进行的。该程序包含一个用于协变量选择的逐步变量搜索算法。输出特征包括:模型选择标准、参数估计的标准误差、分位数和生存率及其标准误差、残差和几个图表。讨论了一个基于多伦多玛格丽特公主医院数据的示例,以说明该程序的功能。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验