A powerful nonparametric test of the effect of dementia duration on mortality

IF 0.8 4区 数学 Q3 STATISTICS & PROBABILITY Journal of Nonparametric Statistics Pub Date : 2024-03-05 DOI:10.1080/10485252.2024.2320128
Rafael Weißbach, Lucas Radloff, Constantin Reinke, G. Doblhammer
{"title":"A powerful nonparametric test of the effect of dementia duration on mortality","authors":"Rafael Weißbach, Lucas Radloff, Constantin Reinke, G. Doblhammer","doi":"10.1080/10485252.2024.2320128","DOIUrl":null,"url":null,"abstract":"A continuous-time multi-state history is semi-Markovian, if an intensity to migrate from one state into a second, depends on the duration in the first state. Such duration can be formalised as mark...","PeriodicalId":50112,"journal":{"name":"Journal of Nonparametric Statistics","volume":"267 1","pages":""},"PeriodicalIF":0.8000,"publicationDate":"2024-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Nonparametric Statistics","FirstCategoryId":"100","ListUrlMain":"https://doi.org/10.1080/10485252.2024.2320128","RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"STATISTICS & PROBABILITY","Score":null,"Total":0}
引用次数: 0

Abstract

A continuous-time multi-state history is semi-Markovian, if an intensity to migrate from one state into a second, depends on the duration in the first state. Such duration can be formalised as mark...
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
对痴呆症持续时间对死亡率的影响进行强有力的非参数检验
如果从一种状态迁移到第二种状态的强度取决于第一种状态的持续时间,那么连续时间多状态历史就是半马尔可夫式的。这种持续时间可以形式化为标记...
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Journal of Nonparametric Statistics
Journal of Nonparametric Statistics 数学-统计学与概率论
CiteScore
1.50
自引率
8.30%
发文量
42
审稿时长
6-12 weeks
期刊介绍: Journal of Nonparametric Statistics provides a medium for the publication of research and survey work in nonparametric statistics and related areas. The scope includes, but is not limited to the following topics: Nonparametric modeling, Nonparametric function estimation, Rank and other robust and distribution-free procedures, Resampling methods, Lack-of-fit testing, Multivariate analysis, Inference with high-dimensional data, Dimension reduction and variable selection, Methods for errors in variables, missing, censored, and other incomplete data structures, Inference of stochastic processes, Sample surveys, Time series analysis, Longitudinal and functional data analysis, Nonparametric Bayes methods and decision procedures, Semiparametric models and procedures, Statistical methods for imaging and tomography, Statistical inverse problems, Financial statistics and econometrics, Bioinformatics and comparative genomics, Statistical algorithms and machine learning. Both the theory and applications of nonparametric statistics are covered in the journal. Research applying nonparametric methods to medicine, engineering, technology, science and humanities is welcomed, provided the novelty and quality level are of the highest order. Authors are encouraged to submit supplementary technical arguments, computer code, data analysed in the paper or any additional information for online publication along with the published paper.
期刊最新文献
Adaptive and efficient isotonic estimation in Wicksell's problem A general semi-parametric elliptical distribution model for semi-supervised learning Stone's theorem for distributional regression in Wasserstein distance Kernel density estimation for a stochastic process with values in a Riemannian manifold Functional index coefficient models for locally stationary time series
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1