Danilo Alvares, Janet van Niekerk, Elias Teixeira Krainski, Håvard Rue, Denis Rustand
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引用次数: 0
摘要
本教程展示了如何使用 INLA 和 INLAjoint R 软件包，以清晰、易读和易懂的方式，利用集成嵌套拉普拉斯近似法拟合各种贝叶斯生存模型。这些模型包括加速失效时间、比例危险、混合治愈、竞争风险、多状态、虚弱以及纵向和生存数据的联合模型，最初在 "用 BUGS 进行贝叶斯生存分析 "一文中进行了介绍。此外，我们还说明了针对纵向半连续标记、复发事件和终末事件的新联合模型的实施。我们的建议旨在为读者提供使用快速准确的近似贝叶斯推理方法实施生存模型的语法示例。
This tutorial shows how various Bayesian survival models can be fitted using the integrated nested Laplace approximation in a clear, legible, and comprehensible manner using the INLA and INLAjoint R-packages. Such models include accelerated failure time, proportional hazards, mixture cure, competing risks, multi-state, frailty, and joint models of longitudinal and survival data, originally presented in the article "Bayesian survival analysis with BUGS." In addition, we illustrate the implementation of a new joint model for a longitudinal semicontinuous marker, recurrent events, and a terminal event. Our proposal aims to provide the reader with syntax examples for implementing survival models using a fast and accurate approximate Bayesian inferential approach.
期刊介绍：
The journal aims to influence practice in medicine and its associated sciences through the publication of papers on statistical and other quantitative methods. Papers will explain new methods and demonstrate their application, preferably through a substantive, real, motivating example or a comprehensive evaluation based on an illustrative example. Alternatively, papers will report on case-studies where creative use or technical generalizations of established methodology is directed towards a substantive application. Reviews of, and tutorials on, general topics relevant to the application of statistics to medicine will also be published. The main criteria for publication are appropriateness of the statistical methods to a particular medical problem and clarity of exposition. Papers with primarily mathematical content will be excluded. The journal aims to enhance communication between statisticians, clinicians and medical researchers.
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