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Methodological challenges in studying disease processes using observational cohort data. 使用观察性队列数据研究疾病过程的方法学挑战。
IF 1.1
Japanese Journal of Statistics and Data Science Pub Date : 2025-01-01 Epub Date: 2024-10-30 DOI: 10.1007/s42081-024-00276-9
Richard J Cook, Jerald F Lawless
{"title":"Methodological challenges in studying disease processes using observational cohort data.","authors":"Richard J Cook, Jerald F Lawless","doi":"10.1007/s42081-024-00276-9","DOIUrl":"10.1007/s42081-024-00276-9","url":null,"abstract":"<p><p>Cohort studies of disease processes deal with events and other outcomes that may occur in individuals following disease onset. The particular goals are often the evaluation of interventions and estimation of the effects of risk factors that may affect the disease course. Models and methods of event history analysis and longitudinal data analysis provide tools for understanding disease processes, but there are numerous challenges in practice. These are related to the complexity of the disease processes and to the difficulty of recruiting representative individuals and acquiring detailed longitudinal data on their disease course. Our objectives here are to describe some of these challenges and to review methods of addressing them. We emphasize the appeal of multistate models as a framework for understanding both disease processes and the processes governing recruitment of individuals for cohort studies and the collection of data. The use of other observational data sources in order to enhance model fitting and analysis is discussed.</p>","PeriodicalId":29911,"journal":{"name":"Japanese Journal of Statistics and Data Science","volume":"8 1","pages":"323-345"},"PeriodicalIF":1.1,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12179002/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144477024","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Selection of statistics for a multinomial goodness-of-fit test and a test of independence for a multi-way contingency table when data are sparse 在数据稀少的情况下，选择多项式拟合优度检验和多向或然表独立性检验的统计量
IF 1.3
Japanese Journal of Statistics and Data Science Pub Date : 2024-01-03 DOI: 10.1007/s42081-023-00233-y
Nobuhiro Taneichi, Yuri Sekiya
{"title":"Selection of statistics for a multinomial goodness-of-fit test and a test of independence for a multi-way contingency table when data are sparse","authors":"Nobuhiro Taneichi, Yuri Sekiya","doi":"10.1007/s42081-023-00233-y","DOIUrl":"https://doi.org/10.1007/s42081-023-00233-y","url":null,"abstract":"","PeriodicalId":29911,"journal":{"name":"Japanese Journal of Statistics and Data Science","volume":"14 1","pages":"1-32"},"PeriodicalIF":1.3,"publicationDate":"2024-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139389613","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Sparse inference of structural equation modeling with latent variables for diffusion processes 扩散过程潜变量结构方程模型的稀疏推理
IF 1.3
Japanese Journal of Statistics and Data Science Pub Date : 2023-12-26 DOI: 10.1007/s42081-023-00230-1
Shogo Kusano, Masayuki Uchida
{"title":"Sparse inference of structural equation modeling with latent variables for diffusion processes","authors":"Shogo Kusano, Masayuki Uchida","doi":"10.1007/s42081-023-00230-1","DOIUrl":"https://doi.org/10.1007/s42081-023-00230-1","url":null,"abstract":"","PeriodicalId":29911,"journal":{"name":"Japanese Journal of Statistics and Data Science","volume":"3 26","pages":""},"PeriodicalIF":1.3,"publicationDate":"2023-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139156637","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Stein-rule M-estimation in sparse partially linear models 稀疏部分线性模型中的斯坦因规则 M-估计
IF 1.3
Japanese Journal of Statistics and Data Science Pub Date : 2023-12-23 DOI: 10.1007/s42081-023-00231-0
E. Raheem, S. E. Ahmed, Shuangzhe Liu
{"title":"Stein-rule M-estimation in sparse partially linear models","authors":"E. Raheem, S. E. Ahmed, Shuangzhe Liu","doi":"10.1007/s42081-023-00231-0","DOIUrl":"https://doi.org/10.1007/s42081-023-00231-0","url":null,"abstract":"","PeriodicalId":29911,"journal":{"name":"Japanese Journal of Statistics and Data Science","volume":"132 3","pages":""},"PeriodicalIF":1.3,"publicationDate":"2023-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139161078","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Expansion estimators improving the bias and risk of James–Stein’s shrinkage estimator 改进詹姆斯-斯坦缩减估算器偏差和风险的扩展估算器
IF 1.3
Japanese Journal of Statistics and Data Science Pub Date : 2023-12-16 DOI: 10.1007/s42081-023-00227-w
Hisayuki Tsukuma
{"title":"Expansion estimators improving the bias and risk of James–Stein’s shrinkage estimator","authors":"Hisayuki Tsukuma","doi":"10.1007/s42081-023-00227-w","DOIUrl":"https://doi.org/10.1007/s42081-023-00227-w","url":null,"abstract":"","PeriodicalId":29911,"journal":{"name":"Japanese Journal of Statistics and Data Science","volume":"56 8","pages":""},"PeriodicalIF":1.3,"publicationDate":"2023-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138967722","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Bivariate dynamic weighted cumulative residual entropy 双变量动态加权累积残差熵
IF 1.3
Japanese Journal of Statistics and Data Science Pub Date : 2023-12-14 DOI: 10.1007/s42081-023-00232-z
R. Nair, E. I. A. Sathar
{"title":"Bivariate dynamic weighted cumulative residual entropy","authors":"R. Nair, E. I. A. Sathar","doi":"10.1007/s42081-023-00232-z","DOIUrl":"https://doi.org/10.1007/s42081-023-00232-z","url":null,"abstract":"","PeriodicalId":29911,"journal":{"name":"Japanese Journal of Statistics and Data Science","volume":"64 2","pages":""},"PeriodicalIF":1.3,"publicationDate":"2023-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138974945","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Reliability of stress–strength model for exponentiated Teissier distribution based on lower record values 基于较低记录值的指数化泰西分布应力强度模型的可靠性
IF 1.3
Japanese Journal of Statistics and Data Science Pub Date : 2023-12-09 DOI: 10.1007/s42081-023-00229-8
Hossein Pasha-Zanoosi
{"title":"Reliability of stress–strength model for exponentiated Teissier distribution based on lower record values","authors":"Hossein Pasha-Zanoosi","doi":"10.1007/s42081-023-00229-8","DOIUrl":"https://doi.org/10.1007/s42081-023-00229-8","url":null,"abstract":"","PeriodicalId":29911,"journal":{"name":"Japanese Journal of Statistics and Data Science","volume":"5 2","pages":""},"PeriodicalIF":1.3,"publicationDate":"2023-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138585609","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Shrinkage estimation with logarithmic penalties 用对数惩罚进行收缩估计
IF 1.3
Japanese Journal of Statistics and Data Science Pub Date : 2023-11-29 DOI: 10.1007/s42081-023-00225-y
Tatsuya Kubokawa
{"title":"Shrinkage estimation with logarithmic penalties","authors":"Tatsuya Kubokawa","doi":"10.1007/s42081-023-00225-y","DOIUrl":"https://doi.org/10.1007/s42081-023-00225-y","url":null,"abstract":"","PeriodicalId":29911,"journal":{"name":"Japanese Journal of Statistics and Data Science","volume":"11 1","pages":""},"PeriodicalIF":1.3,"publicationDate":"2023-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139210453","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Confidence interval for normal means in meta-analysis based on a pretest estimator 基于预测试估计值的荟萃分析中正态均值的置信区间
IF 1.3
Japanese Journal of Statistics and Data Science Pub Date : 2023-11-27 DOI: 10.1007/s42081-023-00221-2
Nanami Taketomi, Yuan-Tsung Chang, Yoshihiko Konno, Mihoko Mori, Takeshi Emura
{"title":"Confidence interval for normal means in meta-analysis based on a pretest estimator","authors":"Nanami Taketomi, Yuan-Tsung Chang, Yoshihiko Konno, Mihoko Mori, Takeshi Emura","doi":"10.1007/s42081-023-00221-2","DOIUrl":"https://doi.org/10.1007/s42081-023-00221-2","url":null,"abstract":"","PeriodicalId":29911,"journal":{"name":"Japanese Journal of Statistics and Data Science","volume":"22 1","pages":""},"PeriodicalIF":1.3,"publicationDate":"2023-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139233909","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Multivariate functional subspace classification for high-dimensional longitudinal data 高维纵向数据的多元泛函子空间分类
Japanese Journal of Statistics and Data Science Pub Date : 2023-11-14 DOI: 10.1007/s42081-023-00226-x
Tatsuya Fukuda, Hidetoshi Matsui, Hiroya Takada, Toshihiro Misumi, Sadanori Konishi
{"title":"Multivariate functional subspace classification for high-dimensional longitudinal data","authors":"Tatsuya Fukuda, Hidetoshi Matsui, Hiroya Takada, Toshihiro Misumi, Sadanori Konishi","doi":"10.1007/s42081-023-00226-x","DOIUrl":"https://doi.org/10.1007/s42081-023-00226-x","url":null,"abstract":"","PeriodicalId":29911,"journal":{"name":"Japanese Journal of Statistics and Data Science","volume":"42 5","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134954592","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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