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The Annals of Applied Statistics最新文献

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A marginal structural model for partial compliance in SMARTs SMART 中部分履约的边际结构模型
The Annals of Applied Statistics Pub Date : 2024-06-01 DOI: 10.1214/21-aoas1586
William J Artman, Indrabati Bhattacharya, Ashkan Ertefaie, Kevin G. Lynch, James R. McKay, Brent A. Johnson
{"title":"A marginal structural model for partial compliance in SMARTs","authors":"William J Artman, Indrabati Bhattacharya, Ashkan Ertefaie, Kevin G. Lynch, James R. McKay, Brent A. Johnson","doi":"10.1214/21-aoas1586","DOIUrl":"https://doi.org/10.1214/21-aoas1586","url":null,"abstract":"The cyclical and heterogeneous nature of many substance use disorders highlights the need to adapt the type and/or the dose of treatment to accommodate the specific and changing needs of individuals. The Adaptive Treatment for Alcohol and Cocaine Dependence study (ENGAGE) is a sequential multiple assignment randomized trial (SMART) that aimed to provide longitudinal data for constructing dynamic treatment regimes (DTRs) to improve patients’ engagement in therapy. However, the high rate of noncompliance and lack of analytic tools to account for noncompliance has impeded researchers from using the data to achieve the main goal of the trial; namely, the construction of individually tailored DTRs. We overcome this issue by defining our target parameter as the mean outcome under different DTRs for given potential compliance strata and propose a marginal structural model with principal stratification to estimate this quantity. We model the latent principal strata using a Bayesian semiparametric approach. An important feature of our work is that we consider partial rather than binary compliance strata which is more relevant in longitudinal studies. We assess the performance of our method through simulation. We illustrate its application on the ENGAGE study and demonstrate that the optimal DTRs depend on compliance strata compared with ignoring compliance information as in intention-to-treat analyses.","PeriodicalId":188068,"journal":{"name":"The Annals of Applied Statistics","volume":"22 22","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141233182","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: 2
As treated analyses of cluster randomized trials 分组随机试验的处理分析
The Annals of Applied Statistics Pub Date : 2024-06-01 DOI: 10.1214/23-aoas1846
Ari I. F. Fogelson, Kirsten E. Landsiedel, Suzanne M. Dufault, Nicholas P. Jewell
{"title":"As treated analyses of cluster randomized trials","authors":"Ari I. F. Fogelson, Kirsten E. Landsiedel, Suzanne M. Dufault, Nicholas P. Jewell","doi":"10.1214/23-aoas1846","DOIUrl":"https://doi.org/10.1214/23-aoas1846","url":null,"abstract":"","PeriodicalId":188068,"journal":{"name":"The Annals of Applied Statistics","volume":"7 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141234209","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
Readability prediction: How many features are necessary? 可读性预测：需要多少特征？
The Annals of Applied Statistics Pub Date : 2024-06-01 DOI: 10.1214/23-aoas1820
F. Schwendinger, Laura Vana, Kurt Hornik
{"title":"Readability prediction: How many features are necessary?","authors":"F. Schwendinger, Laura Vana, Kurt Hornik","doi":"10.1214/23-aoas1820","DOIUrl":"https://doi.org/10.1214/23-aoas1820","url":null,"abstract":"","PeriodicalId":188068,"journal":{"name":"The Annals of Applied Statistics","volume":"23 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141235574","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
Efficient and effective calibration of numerical model outputs using hierarchical dynamic models 利用分层动态模型高效校准数值模型输出结果
The Annals of Applied Statistics Pub Date : 2024-06-01 DOI: 10.1214/23-aoas1823
Yewen Chen, Xiaohui Chang, Bohai Zhang, Hui Huang
{"title":"Efficient and effective calibration of numerical model outputs using hierarchical dynamic models","authors":"Yewen Chen, Xiaohui Chang, Bohai Zhang, Hui Huang","doi":"10.1214/23-aoas1823","DOIUrl":"https://doi.org/10.1214/23-aoas1823","url":null,"abstract":"","PeriodicalId":188068,"journal":{"name":"The Annals of Applied Statistics","volume":"36 7","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141231953","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
Tensor regression for incomplete observations with application to longitudinal studies 不完整观测数据的张量回归及其在纵向研究中的应用
The Annals of Applied Statistics Pub Date : 2024-06-01 DOI: 10.1214/23-aoas1830
Tianchen Xu, Kun Chen, Gen Li
{"title":"Tensor regression for incomplete observations with application to longitudinal studies","authors":"Tianchen Xu, Kun Chen, Gen Li","doi":"10.1214/23-aoas1830","DOIUrl":"https://doi.org/10.1214/23-aoas1830","url":null,"abstract":"","PeriodicalId":188068,"journal":{"name":"The Annals of Applied Statistics","volume":"2 7","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141230750","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
Information-incorporated clustering analysis of disease prevalence trends 疾病流行趋势的信息整合聚类分析
The Annals of Applied Statistics Pub Date : 2024-06-01 DOI: 10.1214/23-aoas1821
Chenjin Ma, Cunjie Lin, Yuan Xue, Sanguo Zhang, Qingzhao Zhang, Shuangge Ma
{"title":"Information-incorporated clustering analysis of disease prevalence trends","authors":"Chenjin Ma, Cunjie Lin, Yuan Xue, Sanguo Zhang, Qingzhao Zhang, Shuangge Ma","doi":"10.1214/23-aoas1821","DOIUrl":"https://doi.org/10.1214/23-aoas1821","url":null,"abstract":"","PeriodicalId":188068,"journal":{"name":"The Annals of Applied Statistics","volume":"47 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141232615","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
Functional partial least squares with censored outcomes: Prediction of breast cancer risk with mammogram images 有删减结果的功能偏最小二乘法：利用乳房 X 光图像预测乳腺癌风险
The Annals of Applied Statistics Pub Date : 2024-06-01 DOI: 10.1214/23-aoas1822
Shu Jiang, Jiguo Cao, G. A. Colditz
{"title":"Functional partial least squares with censored outcomes: Prediction of breast cancer risk with mammogram images","authors":"Shu Jiang, Jiguo Cao, G. A. Colditz","doi":"10.1214/23-aoas1822","DOIUrl":"https://doi.org/10.1214/23-aoas1822","url":null,"abstract":"","PeriodicalId":188068,"journal":{"name":"The Annals of Applied Statistics","volume":"63 9","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141231382","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
A high-dimensional approach to measure connectivity in the financial sector 衡量金融业连通性的高维方法
The Annals of Applied Statistics Pub Date : 2024-06-01 DOI: 10.1214/22-aoas1702
Sumanta Basu, Sreyoshi Das, George Michailidis, A. Purnanandam
{"title":"A high-dimensional approach to measure connectivity in the financial sector","authors":"Sumanta Basu, Sreyoshi Das, George Michailidis, A. Purnanandam","doi":"10.1214/22-aoas1702","DOIUrl":"https://doi.org/10.1214/22-aoas1702","url":null,"abstract":"","PeriodicalId":188068,"journal":{"name":"The Annals of Applied Statistics","volume":"29 22","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141234907","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
A hierarchical spline model for correcting and hindcasting temperature data 用于校正和后报温度数据的分层样条模型
The Annals of Applied Statistics Pub Date : 2024-06-01 DOI: 10.1214/23-aoas1855
Theodoros Economou, Catrina Johnson, Elizabeth Dyson
{"title":"A hierarchical spline model for correcting and hindcasting temperature data","authors":"Theodoros Economou, Catrina Johnson, Elizabeth Dyson","doi":"10.1214/23-aoas1855","DOIUrl":"https://doi.org/10.1214/23-aoas1855","url":null,"abstract":"","PeriodicalId":188068,"journal":{"name":"The Annals of Applied Statistics","volume":"2 7","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141229272","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
Hierarchical dependence modeling for the analysis of large insurance claims data 用于分析大型保险理赔数据的分层依赖模型
The Annals of Applied Statistics Pub Date : 2024-06-01 DOI: 10.1214/23-aoas1840
Ting Fung Ma, Yizhou Cai, Peng Shi, Jun Zhu
{"title":"Hierarchical dependence modeling for the analysis of large insurance claims data","authors":"Ting Fung Ma, Yizhou Cai, Peng Shi, Jun Zhu","doi":"10.1214/23-aoas1840","DOIUrl":"https://doi.org/10.1214/23-aoas1840","url":null,"abstract":"","PeriodicalId":188068,"journal":{"name":"The Annals of Applied Statistics","volume":"23 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141277621","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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