William J Artman, Indrabati Bhattacharya, Ashkan Ertefaie, Kevin G. Lynch, James R. McKay, Brent A. Johnson
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.
{"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}
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}
{"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}
{"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}
{"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}
{"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}
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}
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}
{"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}
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