多态和非参数多变量纵向数据的联合建模。

IF 1.3 4区数学 Q2 STATISTICS & PROBABILITY

Annals of Applied Statistics Pub Date : 2024-08-05 DOI:10.1214/24-aoas1889

L U You,Falastin Salami,Carina Törn,Åke Lernmark,Roy Tamura

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引用次数: 0

摘要

在疾病进展研究中，受试者往往会进入几种相关疾病状态中的一种。多态模型是分析此类研究数据不可或缺的工具。青少年糖尿病的环境决定因素（TEDDY）是一项观察性研究，研究对象为从出生到 1 型糖尿病（T1D）发病直至 15 岁的高危儿童。本研究提出了一种多态和多变量非参数纵向数据同时推断的联合模型，用于分析数据和回答研究中提出的问题。通过所提出的方法，我们可以在 TEDDY 研究中进行统计推断、检验假设并预测未来的职业状态。我们通过模拟研究对所提方法的性能进行了评估。建议的方法应用于激励性实例，以展示该方法的能力。

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JOINT MODELING OF MULTISTATE AND NONPARAMETRIC MULTIVARIATE LONGITUDINAL DATA.

It is oftentimes the case in studies of disease progression that subjects can move into one of several disease states of interest. Multistate models are an indispensable tool to analyze data from such studies. The Environmental Determinants of Diabetes in the Young (TEDDY) is an observational study of at-risk children from birth to onset of type-1 diabetes (T1D) up through the age of 15. A joint model for simultaneous inference of multistate and multivariate nonparametric longitudinal data is proposed to analyze data and answer the research questions brought up in the study. The proposed method allows us to make statistical inferences, test hypotheses, and make predictions about future state occupation in the TEDDY study. The performance of the proposed method is evaluated by simulation studies. The proposed method is applied to the motivating example to demonstrate the capabilities of the method.

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来源期刊

Annals of Applied Statistics 社会科学-统计学与概率论

CiteScore

3.10

自引率

5.60%

发文量

131

审稿时长

6-12 weeks

期刊介绍： Statistical research spans an enormous range from direct subject-matter collaborations to pure mathematical theory. The Annals of Applied Statistics, the newest journal from the IMS, is aimed at papers in the applied half of this range. Published quarterly in both print and electronic form, our goal is to provide a timely and unified forum for all areas of applied statistics.