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Simultaneous Learning the Dimension and Parameter of a Statistical Model with Big Data 利用大数据同时学习统计模型的维数和参数
IF 1
Statistics in Biosciences Pub Date : 2021-10-15 DOI: 10.1007/s12561-021-09324-4
Long Wang, Fangzheng Xie, Yanxun Xu
{"title":"Simultaneous Learning the Dimension and Parameter of a Statistical Model with Big Data","authors":"Long Wang, Fangzheng Xie, Yanxun Xu","doi":"10.1007/s12561-021-09324-4","DOIUrl":"https://doi.org/10.1007/s12561-021-09324-4","url":null,"abstract":"","PeriodicalId":45094,"journal":{"name":"Statistics in Biosciences","volume":null,"pages":null},"PeriodicalIF":1.0,"publicationDate":"2021-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47383406","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 Weighted Sample Framework to Incorporate External Calculators for Risk Modeling 将外部计算器纳入风险建模的加权样本框架
IF 1
Statistics in Biosciences Pub Date : 2021-10-08 DOI: 10.1007/s12561-021-09325-3
D. Ghosh, M. Sabel
{"title":"A Weighted Sample Framework to Incorporate External Calculators for Risk Modeling","authors":"D. Ghosh, M. Sabel","doi":"10.1007/s12561-021-09325-3","DOIUrl":"https://doi.org/10.1007/s12561-021-09325-3","url":null,"abstract":"","PeriodicalId":45094,"journal":{"name":"Statistics in Biosciences","volume":null,"pages":null},"PeriodicalIF":1.0,"publicationDate":"2021-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49257052","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
Leveraging Natural History Data in One- and Two-Arm Hierarchical Bayesian Studies of Rare Disease Progression 利用自然史数据进行罕见病进展的单臂和双臂层次贝叶斯研究
IF 1
Statistics in Biosciences Pub Date : 2021-10-01 DOI: 10.1007/s12561-021-09323-5
A. Monseur, B. Carlin, B. Boulanger, A. Seferian, L. Servais, Chris Freitag, L. Thielemans, Teresa Elena Virginie Ulrike Andrea Adele James J. Basil Gidaro Gargaun Chê Schara Gangfuß D’Amico Dowling , T. Gidaro, E. Gargaun, V. Chê, U. Schara, A. Gangfuss, A. D’Amico, J. Dowling, B. Darras, A. Daron, Arturo E. Hernandez, C. de Lattre, J. Arnal, Michèle Mayer, J. Cuisset, C. Vuillerot, S. Fontaine, R. Bellance, V. Biancalana, A. Buj-Bello, J. Hogrel, H. Landy, K. Amburgey, B. Andres, E. Bertini, R. Cardaş, S. Denis, Dominique Duchêne, V. Latournerie, Nacera Reguiba, E. Tsuchiya, C. Wallgren‐Pettersson
{"title":"Leveraging Natural History Data in One- and Two-Arm Hierarchical Bayesian Studies of Rare Disease Progression","authors":"A. Monseur, B. Carlin, B. Boulanger, A. Seferian, L. Servais, Chris Freitag, L. Thielemans, Teresa Elena Virginie Ulrike Andrea Adele James J. Basil Gidaro Gargaun Chê Schara Gangfuß D’Amico Dowling , T. Gidaro, E. Gargaun, V. Chê, U. Schara, A. Gangfuss, A. D’Amico, J. Dowling, B. Darras, A. Daron, Arturo E. Hernandez, C. de Lattre, J. Arnal, Michèle Mayer, J. Cuisset, C. Vuillerot, S. Fontaine, R. Bellance, V. Biancalana, A. Buj-Bello, J. Hogrel, H. Landy, K. Amburgey, B. Andres, E. Bertini, R. Cardaş, S. Denis, Dominique Duchêne, V. Latournerie, Nacera Reguiba, E. Tsuchiya, C. Wallgren‐Pettersson","doi":"10.1007/s12561-021-09323-5","DOIUrl":"https://doi.org/10.1007/s12561-021-09323-5","url":null,"abstract":"","PeriodicalId":45094,"journal":{"name":"Statistics in Biosciences","volume":null,"pages":null},"PeriodicalIF":1.0,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42161032","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: 1
Flexible Conditional Borrowing Approaches for Leveraging Historical Data in the Bayesian Design of Superiority Trials 在优势试验的贝叶斯设计中利用历史数据的灵活条件借用方法
IF 1
Statistics in Biosciences Pub Date : 2021-09-18 DOI: 10.1007/s12561-021-09321-7
Weiying Yuan, Ming-Hui Chen, J. Zhong
{"title":"Flexible Conditional Borrowing Approaches for Leveraging Historical Data in the Bayesian Design of Superiority Trials","authors":"Weiying Yuan, Ming-Hui Chen, J. Zhong","doi":"10.1007/s12561-021-09321-7","DOIUrl":"https://doi.org/10.1007/s12561-021-09321-7","url":null,"abstract":"","PeriodicalId":45094,"journal":{"name":"Statistics in Biosciences","volume":null,"pages":null},"PeriodicalIF":1.0,"publicationDate":"2021-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46761465","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: 1
Bayesian Analysis of Multivariate Matched Proportions with Sparse Response 具有稀疏响应的多元匹配比例的贝叶斯分析
IF 1
Statistics in Biosciences Pub Date : 2021-08-09 DOI: 10.1007/s12561-023-09368-8
M. Meyer, Hao Cheng, K. Knutson
{"title":"Bayesian Analysis of Multivariate Matched Proportions with Sparse Response","authors":"M. Meyer, Hao Cheng, K. Knutson","doi":"10.1007/s12561-023-09368-8","DOIUrl":"https://doi.org/10.1007/s12561-023-09368-8","url":null,"abstract":"","PeriodicalId":45094,"journal":{"name":"Statistics in Biosciences","volume":null,"pages":null},"PeriodicalIF":1.0,"publicationDate":"2021-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48568588","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
Testing for mediation effect with application to human microbiome data. 应用人类微生物组数据测试中介效应。
IF 1
Statistics in Biosciences Pub Date : 2021-07-01 Epub Date: 2019-07-27 DOI: 10.1007/s12561-019-09253-3
Haixiang Zhang, Jun Chen, Zhigang Li, Lei Liu
{"title":"Testing for mediation effect with application to human microbiome data.","authors":"Haixiang Zhang, Jun Chen, Zhigang Li, Lei Liu","doi":"10.1007/s12561-019-09253-3","DOIUrl":"10.1007/s12561-019-09253-3","url":null,"abstract":"<p><p>Mediation analysis has been commonly used to study the effect of an exposure on an outcome through a mediator. In this paper, we are interested in exploring the mediation mechanism of microbiome, whose special features make the analysis challenging. We consider the isometric logratio transformation of the relative abundance as the mediator variable. Then, we present a de-biased Lasso estimate for the mediator of interest and derive its standard error estimator, which can be used to develop a test procedure for the interested mediation effect. Extensive simulation studies are conducted to assess the performance of our method. We apply the proposed approach to test the mediation effect of human gut microbiome between the dietary fiber intake and body mass index.</p>","PeriodicalId":45094,"journal":{"name":"Statistics in Biosciences","volume":null,"pages":null},"PeriodicalIF":1.0,"publicationDate":"2021-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8177450/pdf/nihms-1578730.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"38998807","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
Joint Microbial and Metabolomic Network Estimation with the Censored Gaussian Graphical Model. 用删节高斯图模型估计微生物和代谢组学联合网络。
IF 1
Statistics in Biosciences Pub Date : 2021-07-01 DOI: 10.1007/s12561-020-09294-z
Jing Ma
{"title":"Joint Microbial and Metabolomic Network Estimation with the Censored Gaussian Graphical Model.","authors":"Jing Ma","doi":"10.1007/s12561-020-09294-z","DOIUrl":"https://doi.org/10.1007/s12561-020-09294-z","url":null,"abstract":"<p><p>Joint analysis of microbiome and metabolomic data represents an imperative objective as the field moves beyond basic microbiome association studies and turns towards mechanistic and translational investigations. We present a censored Gaussian graphical model framework, where the metabolomic data are treated as continuous and the microbiome data as censored at zero, to identify direct interactions (defined as conditional dependence relationships) between microbial species and metabolites. Simulated examples show that our method metaMint performs favorably compared to the existing ones. metaMint also provides interpretable microbe-metabolite interactions when applied to a bacterial vaginosis data set. R implementation of metaMint is available on GitHub.</p>","PeriodicalId":45094,"journal":{"name":"Statistics in Biosciences","volume":null,"pages":null},"PeriodicalIF":1.0,"publicationDate":"2021-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/s12561-020-09294-z","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10743117","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: 1
Distance-Based Analysis with Quantile Regression Models. 基于距离的分位数回归模型分析。
IF 1
Statistics in Biosciences Pub Date : 2021-07-01 Epub Date: 2021-03-27 DOI: 10.1007/s12561-021-09306-6
Shaoyu Li, Yanqing Sun, Liyang Diao, Xue Wang
{"title":"Distance-Based Analysis with Quantile Regression Models.","authors":"Shaoyu Li,&nbsp;Yanqing Sun,&nbsp;Liyang Diao,&nbsp;Xue Wang","doi":"10.1007/s12561-021-09306-6","DOIUrl":"https://doi.org/10.1007/s12561-021-09306-6","url":null,"abstract":"<p><p>Non-standard structured, multivariate data are emerging in many research areas, including genetics and genomics, ecology, and social science. Suitably defined pairwise distance measures are commonly used in distance-based analysis to study the association between the variables. In this work, we consider a linear quantile regression model for pairwise distances. We investigate the large sample properties of an estimator of the unknown coefficients and propose statistical inference procedures correspondingly. Extensive simulations provide evidence of satisfactory finite sample properties of the proposed method. Finally, we applied the method to a microbiome association study to illustrate its utility.</p>","PeriodicalId":45094,"journal":{"name":"Statistics in Biosciences","volume":null,"pages":null},"PeriodicalIF":1.0,"publicationDate":"2021-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/s12561-021-09306-6","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"40601803","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
Estimating Heterogeneous Treatment Effect on Multivariate Responses Using Random Forests 利用随机森林估计异质处理对多变量响应的影响
IF 1
Statistics in Biosciences Pub Date : 2021-05-15 DOI: 10.1007/S12561-021-09310-W
Boyi Guo, H. Holscher, L. Auvil, M. Welge, C. Bushell, J. Novotny, D. Baer, N. Burd, Naiman A. Khan, Ruoqing Zhu
{"title":"Estimating Heterogeneous Treatment Effect on Multivariate Responses Using Random Forests","authors":"Boyi Guo, H. Holscher, L. Auvil, M. Welge, C. Bushell, J. Novotny, D. Baer, N. Burd, Naiman A. Khan, Ruoqing Zhu","doi":"10.1007/S12561-021-09310-W","DOIUrl":"https://doi.org/10.1007/S12561-021-09310-W","url":null,"abstract":"","PeriodicalId":45094,"journal":{"name":"Statistics in Biosciences","volume":null,"pages":null},"PeriodicalIF":1.0,"publicationDate":"2021-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/S12561-021-09310-W","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49077447","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: 3
Bayesian Joint Modeling of Single-Cell Expression Data and Bulk Spatial Transcriptomic Data 单细胞表达数据和海量空间转录组数据的贝叶斯联合建模
IF 1
Statistics in Biosciences Pub Date : 2021-04-12 DOI: 10.1007/S12561-021-09308-4
Jinge Yu, Qiuyu Wu, Xiangyu Luo
{"title":"Bayesian Joint Modeling of Single-Cell Expression Data and Bulk Spatial Transcriptomic Data","authors":"Jinge Yu, Qiuyu Wu, Xiangyu Luo","doi":"10.1007/S12561-021-09308-4","DOIUrl":"https://doi.org/10.1007/S12561-021-09308-4","url":null,"abstract":"","PeriodicalId":45094,"journal":{"name":"Statistics in Biosciences","volume":null,"pages":null},"PeriodicalIF":1.0,"publicationDate":"2021-04-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/S12561-021-09308-4","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48166554","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: 1
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