多时间尺度的灵活参数生存分析:使用stmt的估计和实现

IF 3.2 2区 数学 Q1 SOCIAL SCIENCES, MATHEMATICAL METHODS Stata Journal Pub Date : 2022-09-01 DOI:10.1177/1536867X221124552
H. Bower, T. Andersson, M. Crowther, P. Lambert
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引用次数: 0

摘要

在本文中,我们描述了使用灵活的参数生存模型而不需要时间分割的方法,该方法允许多个时间尺度。在对数风险尺度上拟合柔性参数生存模型时,需要对对数似然进行数值积分来拟合模型。数值积分的使用允许将任意时间函数合并到模型中,因此可以以一种吸引人的方式包含多个时间尺度。我们将描述和举例说明这些方法,并展示如何使用命令stmt(它实现了这些方法)及其后估计命令。
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Flexible parametric survival analysis with multiple timescales: Estimation and implementation using stmt
In this article, we describe methodology that allows for multiple timescales using flexible parametric survival models without the need for time splitting. When one fits flexible parametric survival models on the log-hazard scale, numerical integration is required in the log likelihood to fit the model. The use of numerical integration allows incorporation of arbitrary functions of time into the model and hence lends itself to the inclusion of multiple timescales in an appealing way. We describe and exemplify these methods and show how to use the command stmt , which implements these methods, alongside its postestimation commands.
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来源期刊
Stata Journal
Stata Journal 数学-统计学与概率论
CiteScore
7.80
自引率
4.20%
发文量
44
审稿时长
>12 weeks
期刊介绍: The Stata Journal is a quarterly publication containing articles about statistics, data analysis, teaching methods, and effective use of Stata''s language. The Stata Journal publishes reviewed papers together with shorter notes and comments, regular columns, book reviews, and other material of interest to researchers applying statistics in a variety of disciplines.
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