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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
Correction to: Is 14-Days a Sensible Quarantine Length for COVID-19? Examinations of Some Associated Issues with a Case Study of COVID-19 Incubation Times. 更正:14天是COVID-19的合理隔离时间吗?以COVID-19潜伏期为例探讨相关问题。
IF 1
Statistics in Biosciences Pub Date : 2022-01-01 Epub Date: 2021-09-21 DOI: 10.1007/s12561-021-09322-6
Yasin Khadem Charvadeh, Grace Y Yi, Yuan Bian, Wenqing He
{"title":"Correction to: Is 14-Days a Sensible Quarantine Length for COVID-19? Examinations of Some Associated Issues with a Case Study of COVID-19 Incubation Times.","authors":"Yasin Khadem Charvadeh,&nbsp;Grace Y Yi,&nbsp;Yuan Bian,&nbsp;Wenqing He","doi":"10.1007/s12561-021-09322-6","DOIUrl":"https://doi.org/10.1007/s12561-021-09322-6","url":null,"abstract":"<p><p>[This corrects the article DOI: 10.1007/s12561-021-09320-8.].</p>","PeriodicalId":45094,"journal":{"name":"Statistics in Biosciences","volume":" ","pages":"191"},"PeriodicalIF":1.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8453254/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39452012","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
Is 14-Days a Sensible Quarantine Length for COVID-19? Examinations of Some Associated Issues with a Case Study of COVID-19 Incubation Times. 14天是COVID-19合理的隔离时间吗?以COVID-19潜伏期为例探讨相关问题。
IF 1
Statistics in Biosciences Pub Date : 2022-01-01 Epub Date: 2021-09-09 DOI: 10.1007/s12561-021-09320-8
Yasin Khadem Charvadeh, Grace Y Yi, Yuan Bian, Wenqing He
{"title":"Is 14-Days a Sensible Quarantine Length for COVID-19? Examinations of Some Associated Issues with a Case Study of COVID-19 Incubation Times.","authors":"Yasin Khadem Charvadeh,&nbsp;Grace Y Yi,&nbsp;Yuan Bian,&nbsp;Wenqing He","doi":"10.1007/s12561-021-09320-8","DOIUrl":"https://doi.org/10.1007/s12561-021-09320-8","url":null,"abstract":"<p><p>To confine the spread of an infectious disease, setting a sensible quarantine time is crucial. To this end, it is imperative to well understand the distribution of incubation times of the disease. Regarding the ongoing COVID-19 pandemic, 14-days is commonly taken as a quarantine time to curb the virus spread in balancing the impacts of COVID-19 on diverse aspects of the society, including public health, economy, and humanity perspectives, etc. However, setting a sensible quarantine time is not trivial and it depends on various underlying factors. In this article, we take an angle of examining the distribution of the COVID-19 incubation time using likelihood-based methods. Our study is carried out on a dataset of 178 COVID-19 cases dated from January 20, 2020 to February 29, 2020, with the information of exposure periods and dates of symptom onset collected. To gain a good understanding of possible scenarios, we employ different models to describe incubation times of COVID-19. Our findings suggest that statistically, the 14-day quarantine time may not be long enough to control the probability of an early release of infected individuals to be small. While the size of the study data is not large enough to offer us a definitely acceptable quarantine time, and further in practice, the decision-makers may take account of other factors related to social and economic concerns to set up a practically acceptable quarantine time, our study demonstrates useful methods to determine a reasonable quarantine time from a statistical standpoint. Further, it reveals some associated complexity for fully understanding the COVID-19 incubation time distribution.</p><p><strong>Supplementary information: </strong>The online version contains supplementary material available at 10.1007/s12561-021-09320-8.</p>","PeriodicalId":45094,"journal":{"name":"Statistics in Biosciences","volume":" ","pages":"175-190"},"PeriodicalIF":1.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8428508/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39416422","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: 5
Augmenting Both Arms of a Randomized Controlled Trial Using External Data: An Application of the Propensity Score-Integrated Approaches. 利用外部数据增强随机对照试验的两个分支:倾向得分综合方法的应用。
IF 1
Statistics in Biosciences Pub Date : 2022-01-01 Epub Date: 2021-06-19 DOI: 10.1007/s12561-021-09315-5
Heng Li, Wei-Chen Chen, Chenguang Wang, Nelson Lu, Changhong Song, Ram Tiwari, Yunling Xu, Lilly Q Yue
{"title":"Augmenting Both Arms of a Randomized Controlled Trial Using External Data: An Application of the Propensity Score-Integrated Approaches.","authors":"Heng Li,&nbsp;Wei-Chen Chen,&nbsp;Chenguang Wang,&nbsp;Nelson Lu,&nbsp;Changhong Song,&nbsp;Ram Tiwari,&nbsp;Yunling Xu,&nbsp;Lilly Q Yue","doi":"10.1007/s12561-021-09315-5","DOIUrl":"https://doi.org/10.1007/s12561-021-09315-5","url":null,"abstract":"<p><p>Leveraging external data is a topic that have recently received much attention. The propensity score-integrated approaches are a methodological innovation for this purpose. In this paper we adapt these approaches, originally introduced to augment single-arm studies with external data, for the augmentation of both arms of a randomized controlled trial (RCT) with external data. After recapitulating the basic ideas, we provide a step-by-step tutorial of how to implement the propensity score-integrated approaches, from study design to outcome analysis, in the RCT setting in such a way that the study integrity and objectively are maintained. Both the Bayesian (power prior) approach and the frequentist (composite likelihood) approach are included. Some extensions and variations of these approaches are also outlined at the end of this paper.</p>","PeriodicalId":45094,"journal":{"name":"Statistics in Biosciences","volume":" ","pages":"79-89"},"PeriodicalIF":1.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/s12561-021-09315-5","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39133259","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: 6
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
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