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Estimation of the Proportional Mean Residual Life Model with Internal and Longitudinal Covariates 含内、纵向协变量的比例平均剩余寿命模型的估计
IF 1
Statistics in Biosciences Pub Date : 2022-03-04 DOI: 10.1007/s12561-022-09339-5
Ruiwen Zhou, Jianguo Sun
{"title":"Estimation of the Proportional Mean Residual Life Model with Internal and Longitudinal Covariates","authors":"Ruiwen Zhou, Jianguo Sun","doi":"10.1007/s12561-022-09339-5","DOIUrl":"https://doi.org/10.1007/s12561-022-09339-5","url":null,"abstract":"","PeriodicalId":45094,"journal":{"name":"Statistics in Biosciences","volume":"14 1","pages":"550 - 563"},"PeriodicalIF":1.0,"publicationDate":"2022-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43677213","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 Simulation-Based Evaluation of Statistical Methods for Hybrid Real-World Control Arms in Clinical Trials 临床试验中混合现实世界对照臂统计方法的模拟评估
IF 1
Statistics in Biosciences Pub Date : 2022-02-16 DOI: 10.1007/s12561-022-09334-w
Mingyang Shan, D. Faries, A. Dang, Xiang Zhang, Z. Cui, K. Sheffield
{"title":"A Simulation-Based Evaluation of Statistical Methods for Hybrid Real-World Control Arms in Clinical Trials","authors":"Mingyang Shan, D. Faries, A. Dang, Xiang Zhang, Z. Cui, K. Sheffield","doi":"10.1007/s12561-022-09334-w","DOIUrl":"https://doi.org/10.1007/s12561-022-09334-w","url":null,"abstract":"","PeriodicalId":45094,"journal":{"name":"Statistics in Biosciences","volume":"14 1","pages":"259 - 284"},"PeriodicalIF":1.0,"publicationDate":"2022-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48937504","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
Building an External Control Arm for Development of a New Molecular Entity: An Application in a Recurrent Glioblastoma Trial for MDNA55 为开发一种新的分子实体构建外部控制臂:MDNA55在复发性胶质母细胞瘤试验中的应用
IF 1
Statistics in Biosciences Pub Date : 2022-02-08 DOI: 10.1007/s12561-022-09337-7
A. Majumdar, Ruthanna C Davi, M. Bexon, C. Chandhasin, M. Coello, F. Merchant, N. Merchant
{"title":"Building an External Control Arm for Development of a New Molecular Entity: An Application in a Recurrent Glioblastoma Trial for MDNA55","authors":"A. Majumdar, Ruthanna C Davi, M. Bexon, C. Chandhasin, M. Coello, F. Merchant, N. Merchant","doi":"10.1007/s12561-022-09337-7","DOIUrl":"https://doi.org/10.1007/s12561-022-09337-7","url":null,"abstract":"","PeriodicalId":45094,"journal":{"name":"Statistics in Biosciences","volume":"14 1","pages":"285 - 303"},"PeriodicalIF":1.0,"publicationDate":"2022-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46910445","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
scPI: A Scalable Framework for Probabilistic Inference in Single-Cell RNA-Sequencing Data Analysis scPI:单细胞RNA测序数据分析中概率推断的可扩展框架
IF 1
Statistics in Biosciences Pub Date : 2022-01-31 DOI: 10.1007/s12561-022-09335-9
Jingsi Ming, Jia Zhao, Can-Hua Yang
{"title":"scPI: A Scalable Framework for Probabilistic Inference in Single-Cell RNA-Sequencing Data Analysis","authors":"Jingsi Ming, Jia Zhao, Can-Hua Yang","doi":"10.1007/s12561-022-09335-9","DOIUrl":"https://doi.org/10.1007/s12561-022-09335-9","url":null,"abstract":"","PeriodicalId":45094,"journal":{"name":"Statistics in Biosciences","volume":"1 1","pages":""},"PeriodicalIF":1.0,"publicationDate":"2022-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42161841","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 New Bayesian Two-Sample t Test and Solution to the Behrens–Fisher Problem Based on Gaussian Mixture Modelling with Known Allocations 一种新的贝叶斯双样本t检验及基于已知分配的高斯混合模型的Behrens–Fisher问题的求解
IF 1
Statistics in Biosciences Pub Date : 2021-12-10 DOI: 10.1007/s12561-021-09326-2
Riko Kelter
{"title":"A New Bayesian Two-Sample t Test and Solution to the Behrens–Fisher Problem Based on Gaussian Mixture Modelling with Known Allocations","authors":"Riko Kelter","doi":"10.1007/s12561-021-09326-2","DOIUrl":"https://doi.org/10.1007/s12561-021-09326-2","url":null,"abstract":"","PeriodicalId":45094,"journal":{"name":"Statistics in Biosciences","volume":"14 1","pages":"380 - 412"},"PeriodicalIF":1.0,"publicationDate":"2021-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45797212","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
Correction to: Sample Size Re-estimation with the Com-Nougue Method to Evaluate Treatment Effect 修正:用como - nougue法重新估计样本量以评价治疗效果
IF 1
Statistics in Biosciences Pub Date : 2021-12-09 DOI: 10.1007/s12561-021-09333-3
Jin Wang
{"title":"Correction to: Sample Size Re-estimation with the Com-Nougue Method to Evaluate Treatment Effect","authors":"Jin Wang","doi":"10.1007/s12561-021-09333-3","DOIUrl":"https://doi.org/10.1007/s12561-021-09333-3","url":null,"abstract":"","PeriodicalId":45094,"journal":{"name":"Statistics in Biosciences","volume":"14 1","pages":"104 - 104"},"PeriodicalIF":1.0,"publicationDate":"2021-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"52603334","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
Joint Modeling of Geometric Features of Longitudinal Process and Discrete Survival Time Measured on Nested Timescales: An Application to Fecundity Studies 纵向过程几何特征和嵌套时间尺度上的离散生存时间联合建模:在繁殖力研究中的应用
IF 1
Statistics in Biosciences Pub Date : 2021-12-06 DOI: 10.1007/s12561-023-09381-x
Abhisek Saha, Ling Ma, A. Biswas, R. Sundaram
{"title":"Joint Modeling of Geometric Features of Longitudinal Process and Discrete Survival Time Measured on Nested Timescales: An Application to Fecundity Studies","authors":"Abhisek Saha, Ling Ma, A. Biswas, R. Sundaram","doi":"10.1007/s12561-023-09381-x","DOIUrl":"https://doi.org/10.1007/s12561-023-09381-x","url":null,"abstract":"","PeriodicalId":45094,"journal":{"name":"Statistics in Biosciences","volume":"1 1","pages":""},"PeriodicalIF":1.0,"publicationDate":"2021-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46399657","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 Statistical Method for Association Analysis of Cell Type Compositions. 细胞类型组成关联分析的统计方法。
IF 1
Statistics in Biosciences Pub Date : 2021-12-01 Epub Date: 2021-09-15 DOI: 10.1007/s12561-020-09293-0
Licai Huang, Paul Little, Jeroen R Huyghe, Qian Shi, Tabitha A Harrison, Greg Yothers, Thomas J George, Ulrike Peters, Andrew T Chan, Polly A Newcomb, Wei Sun
{"title":"A Statistical Method for Association Analysis of Cell Type Compositions.","authors":"Licai Huang,&nbsp;Paul Little,&nbsp;Jeroen R Huyghe,&nbsp;Qian Shi,&nbsp;Tabitha A Harrison,&nbsp;Greg Yothers,&nbsp;Thomas J George,&nbsp;Ulrike Peters,&nbsp;Andrew T Chan,&nbsp;Polly A Newcomb,&nbsp;Wei Sun","doi":"10.1007/s12561-020-09293-0","DOIUrl":"10.1007/s12561-020-09293-0","url":null,"abstract":"<p><p>Gene expression data are often collected from tissue samples that are composed of multiple cell types. Studies of cell type composition based on gene expression data from tissue samples have recently attracted increasing research interest and led to new method development for cell type composition estimation. This new information on cell type composition can be associated with individual characteristics (e.g., genetic variants) or clinical outcomes (e.g., survival time). Such association analysis can be conducted for each cell type separately followed by multiple testing correction. An alternative approach is to evaluate this association using the composition of all the cell types, thus aggregating association signals across cell types. A key challenge of this approach is to account for the dependence across cell types. We propose a new method to quantify the distances between cell types while accounting for their dependencies, and use this information for association analysis. We demonstrate our method in two applied examples: to assess the association between immune cell type composition in tumor samples of colorectal cancer patients versus survival time and SNP genotypes. We found immune cell composition has prognostic value, and our distance metric leads to more accurate survival time prediction than other distance metrics that ignore cell type dependencies. In addition, survival time-associated SNPs are enriched among the SNPs associated with immune cell composition.</p>","PeriodicalId":45094,"journal":{"name":"Statistics in Biosciences","volume":"13 3","pages":"373-385"},"PeriodicalIF":1.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/s12561-020-09293-0","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10319800","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
A Unified Decision Framework for Phase I Dose-Finding Designs 一期剂量寻找设计的统一决策框架
IF 1
Statistics in Biosciences Pub Date : 2021-11-24 DOI: 10.1007/s12561-023-09379-5
Yunshan Duan, Shijie Yuan, Yuan Ji, Peter Mueller
{"title":"A Unified Decision Framework for Phase I Dose-Finding Designs","authors":"Yunshan Duan, Shijie Yuan, Yuan Ji, Peter Mueller","doi":"10.1007/s12561-023-09379-5","DOIUrl":"https://doi.org/10.1007/s12561-023-09379-5","url":null,"abstract":"","PeriodicalId":45094,"journal":{"name":"Statistics in Biosciences","volume":" ","pages":""},"PeriodicalIF":1.0,"publicationDate":"2021-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48870494","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
Epistasis Detection via the Joint Cumulant 通过联合积存量检测上溢
IF 1
Statistics in Biosciences Pub Date : 2021-11-12 DOI: 10.1007/s12561-022-09336-8
Randall Reese, G. Fu, Geran Zhao, Xiaotian Dai, Xiaotian Li, K. Chiu
{"title":"Epistasis Detection via the Joint Cumulant","authors":"Randall Reese, G. Fu, Geran Zhao, Xiaotian Dai, Xiaotian Li, K. Chiu","doi":"10.1007/s12561-022-09336-8","DOIUrl":"https://doi.org/10.1007/s12561-022-09336-8","url":null,"abstract":"","PeriodicalId":45094,"journal":{"name":"Statistics in Biosciences","volume":"1 1","pages":"1-19"},"PeriodicalIF":1.0,"publicationDate":"2021-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47939585","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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