首页 > 最新文献

Statistics and Its Interface最新文献

英文 中文
Discussion of “Estimation of Hilbertian varying coefficient models” 关于“希尔伯特变系数模型估计”的讨论
IF 0.8 4区 数学 Q4 MATHEMATICAL & COMPUTATIONAL BIOLOGY Pub Date : 2022-01-01 DOI: 10.4310/21-sii678
Xiongtao Dai
{"title":"Discussion of “Estimation of Hilbertian varying coefficient models”","authors":"Xiongtao Dai","doi":"10.4310/21-sii678","DOIUrl":"https://doi.org/10.4310/21-sii678","url":null,"abstract":"","PeriodicalId":51230,"journal":{"name":"Statistics and Its Interface","volume":"1 1","pages":""},"PeriodicalIF":0.8,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71150167","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Estimation of Preclinical State Onset Age and Sojourn Time for Heavy Smokers in Lung Cancer. 肺癌重度吸烟者临床前状态、发病年龄和滞留时间的估计。
IF 0.8 4区 数学 Q4 MATHEMATICAL & COMPUTATIONAL BIOLOGY Pub Date : 2022-01-01 DOI: 10.4310/21-sii696
Dongfeng Wu, Shesh N Rai, Albert Seow

Estimation of the three key parameters: onset age of the preclinical state, sojourn time and screening sensitivity is critical in cancer screening, since all other terms are functions of the three. A novel link function to connect sensitivity with time in the preclinical state and the likelihood method were used in this project; since sensitivity depends on how long one has entered the preclinical state relative to the total sojourn time. Simulations using Markov Chain Monte Carlo and maximum likelihood estimate were carried out to estimate the key parameters for male and female heavy smokers separately in the low-dose computed tomography group of the National Lung Screening Trial. Sensitivity for male and female heavy smokers were 0.883 and 0.915 respectively at the onset of the preclinical state, and increased to 0.972 and 0.981 at the end. The mean age to make the transition into the preclinical state was 70.94 or 71.15 for male and female heavy smokers respectively, and 90% of heavy smokers at risk for lung cancer would enter the preclinical state in age interval (55.7, 85.8) for males and (54.2, 87.7) for females, and the transition peaked around age 69 for both genders. The mean sojourn time in the preclinical state was 1.43 and 1.49 years, and the 99% credible intervals for the sojourn time were (0.21, 2.96) and (0.37, 2.69) years for male and female heavy smokers correspondingly. Based on the result, low-dose CT should be started at age 55 and ended before 85 for heavy smokers. This provided important information to policy makers.

三个关键参数的估计:临床前状态的发病年龄、滞留时间和筛查敏感性在癌症筛查中至关重要,因为所有其他术语都是这三个参数的函数。本项目采用了一种新颖的连接临床前状态敏感性与时间的链接函数和似然法;因为敏感性取决于一个人进入临床前状态的时间与总逗留时间的关系。利用马尔可夫链蒙特卡罗和最大似然估计分别对国家肺筛查试验低剂量计算机断层扫描组中男性和女性重度吸烟者的关键参数进行了模拟。男性和女性重度吸烟者临床前状态的敏感性分别为0.883和0.915,临床结束时分别为0.972和0.981。男性和女性重度吸烟者进入临床前状态的平均年龄分别为70.94岁和71.15岁,90%有肺癌危险的重度吸烟者在男性(55.7岁,85.8岁)和女性(54.2岁,87.7岁)的年龄间隔内进入临床前状态,男女均在69岁左右达到过渡高峰。男性和女性重度吸烟者的临床前滞留时间均值分别为1.43年和1.49年,其99%可信区间分别为(0.21,2.96)年和(0.37,2.69)年。基于这一结果,对于重度吸烟者,低剂量CT检查应从55岁开始,在85岁之前结束。这为决策者提供了重要信息。
{"title":"Estimation of Preclinical State Onset Age and Sojourn Time for Heavy Smokers in Lung Cancer.","authors":"Dongfeng Wu,&nbsp;Shesh N Rai,&nbsp;Albert Seow","doi":"10.4310/21-sii696","DOIUrl":"https://doi.org/10.4310/21-sii696","url":null,"abstract":"<p><p>Estimation of the three key parameters: onset age of the preclinical state, sojourn time and screening sensitivity is critical in cancer screening, since all other terms are functions of the three. A novel link function to connect sensitivity with time in the preclinical state and the likelihood method were used in this project; since sensitivity depends on how long one has entered the preclinical state relative to the total sojourn time. Simulations using Markov Chain Monte Carlo and maximum likelihood estimate were carried out to estimate the key parameters for male and female heavy smokers separately in the low-dose computed tomography group of the National Lung Screening Trial. Sensitivity for male and female heavy smokers were 0.883 and 0.915 respectively at the onset of the preclinical state, and increased to 0.972 and 0.981 at the end. The mean age to make the transition into the preclinical state was 70.94 or 71.15 for male and female heavy smokers respectively, and 90% of heavy smokers at risk for lung cancer would enter the preclinical state in age interval (55.7, 85.8) for males and (54.2, 87.7) for females, and the transition peaked around age 69 for both genders. The mean sojourn time in the preclinical state was 1.43 and 1.49 years, and the 99% credible intervals for the sojourn time were (0.21, 2.96) and (0.37, 2.69) years for male and female heavy smokers correspondingly. Based on the result, low-dose CT should be started at age 55 and ended before 85 for heavy smokers. This provided important information to policy makers.</p>","PeriodicalId":51230,"journal":{"name":"Statistics and Its Interface","volume":"15 3","pages":"349-358"},"PeriodicalIF":0.8,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9355113/pdf/nihms-1734205.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"40592002","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Subset selection of double-threshold moving average models through the application of the Bayesian method 应用贝叶斯方法进行双阈值移动平均模型的子集选择
IF 0.8 4区 数学 Q4 MATHEMATICAL & COMPUTATIONAL BIOLOGY Pub Date : 2022-01-01 DOI: 10.4310/21-SII674
Jinshan Liu, Jiazhu Pan, Qiang Xia, Ying Xiao
{"title":"Subset selection of double-threshold moving average models through the application of the Bayesian method","authors":"Jinshan Liu, Jiazhu Pan, Qiang Xia, Ying Xiao","doi":"10.4310/21-SII674","DOIUrl":"https://doi.org/10.4310/21-SII674","url":null,"abstract":"","PeriodicalId":51230,"journal":{"name":"Statistics and Its Interface","volume":"15 1","pages":"51-61"},"PeriodicalIF":0.8,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71149583","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Bayesian estimation for partially linear varying coefficient spatial autoregressive models 部分线性变系数空间自回归模型的贝叶斯估计
IF 0.8 4区 数学 Q4 MATHEMATICAL & COMPUTATIONAL BIOLOGY Pub Date : 2022-01-01 DOI: 10.4310/21-SII682
Ruiqin Tian, Dengke Xu, Jiang Du, Junfei Zhang
{"title":"Bayesian estimation for partially linear varying coefficient spatial autoregressive models","authors":"Ruiqin Tian, Dengke Xu, Jiang Du, Junfei Zhang","doi":"10.4310/21-SII682","DOIUrl":"https://doi.org/10.4310/21-SII682","url":null,"abstract":"","PeriodicalId":51230,"journal":{"name":"Statistics and Its Interface","volume":"15 1","pages":"105-113"},"PeriodicalIF":0.8,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71150089","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Rejoinder of “Estimation of Hilbertian varying coefficient models” 对“希尔伯特变系数模型估计”的回答
IF 0.8 4区 数学 Q4 MATHEMATICAL & COMPUTATIONAL BIOLOGY Pub Date : 2022-01-01 DOI: 10.4310/21-sii685
Young K. Lee, Byeong-U Park, H. Hong, Dongwoo Kim
{"title":"Rejoinder of “Estimation of Hilbertian varying coefficient models”","authors":"Young K. Lee, Byeong-U Park, H. Hong, Dongwoo Kim","doi":"10.4310/21-sii685","DOIUrl":"https://doi.org/10.4310/21-sii685","url":null,"abstract":"","PeriodicalId":51230,"journal":{"name":"Statistics and Its Interface","volume":"1 1","pages":""},"PeriodicalIF":0.8,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71150800","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Multivariate Bernstein Fréchet copulas 多元Bernstein fracimchet copulas
IF 0.8 4区 数学 Q4 MATHEMATICAL & COMPUTATIONAL BIOLOGY Pub Date : 2022-01-01 DOI: 10.4310/22-sii722
Zongkai Xie, Fang Wang, Jingping Yang, N. Guo
{"title":"Multivariate Bernstein Fréchet copulas","authors":"Zongkai Xie, Fang Wang, Jingping Yang, N. Guo","doi":"10.4310/22-sii722","DOIUrl":"https://doi.org/10.4310/22-sii722","url":null,"abstract":"","PeriodicalId":51230,"journal":{"name":"Statistics and Its Interface","volume":"1 1","pages":""},"PeriodicalIF":0.8,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71152309","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Discussion of “Estimation of Hilbertian varying coefficient models” 关于“希尔伯特变系数模型估计”的讨论
IF 0.8 4区 数学 Q4 MATHEMATICAL & COMPUTATIONAL BIOLOGY Pub Date : 2022-01-01 DOI: 10.4310/21-sii671
Pang Du
{"title":"Discussion of “Estimation of Hilbertian varying coefficient models”","authors":"Pang Du","doi":"10.4310/21-sii671","DOIUrl":"https://doi.org/10.4310/21-sii671","url":null,"abstract":"","PeriodicalId":51230,"journal":{"name":"Statistics and Its Interface","volume":"1 1","pages":""},"PeriodicalIF":0.8,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71149887","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Bayesian estimation for a mortality model via the aging process 衰老过程中死亡率模型的贝叶斯估计
IF 0.8 4区 数学 Q4 MATHEMATICAL & COMPUTATIONAL BIOLOGY Pub Date : 2022-01-01 DOI: 10.4310/21-SII670
L. J. R. Esparza, F. Baltazar-Larios
{"title":"Bayesian estimation for a mortality model via the aging process","authors":"L. J. R. Esparza, F. Baltazar-Larios","doi":"10.4310/21-SII670","DOIUrl":"https://doi.org/10.4310/21-SII670","url":null,"abstract":"","PeriodicalId":51230,"journal":{"name":"Statistics and Its Interface","volume":"15 1","pages":"19-28"},"PeriodicalIF":0.8,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71149829","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Stochastic diffusion process based on Goel–Okumoto curve: statistical inference and application to real data 基于Goel-Okumoto曲线的随机扩散过程:统计推断及其在实际数据中的应用
IF 0.8 4区 数学 Q4 MATHEMATICAL & COMPUTATIONAL BIOLOGY Pub Date : 2022-01-01 DOI: 10.4310/21-SII675
Ahmed Nafidi, Oussama Rida, M. Bahij, B. Achchab
{"title":"Stochastic diffusion process based on Goel–Okumoto curve: statistical inference and application to real data","authors":"Ahmed Nafidi, Oussama Rida, M. Bahij, B. Achchab","doi":"10.4310/21-SII675","DOIUrl":"https://doi.org/10.4310/21-SII675","url":null,"abstract":"","PeriodicalId":51230,"journal":{"name":"Statistics and Its Interface","volume":"15 1","pages":"63-71"},"PeriodicalIF":0.8,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71150495","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Discussion of “Estimation of Hilbertian varying coefficient models” 关于“希尔伯特变系数模型估计”的讨论
IF 0.8 4区 数学 Q4 MATHEMATICAL & COMPUTATIONAL BIOLOGY Pub Date : 2022-01-01 DOI: 10.4310/21-sii679
Ming-Yen Cheng
{"title":"Discussion of “Estimation of Hilbertian varying coefficient models”","authors":"Ming-Yen Cheng","doi":"10.4310/21-sii679","DOIUrl":"https://doi.org/10.4310/21-sii679","url":null,"abstract":"","PeriodicalId":51230,"journal":{"name":"Statistics and Its Interface","volume":"1 1","pages":""},"PeriodicalIF":0.8,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71150500","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
期刊
Statistics and Its Interface
全部 Acc. Chem. Res. ACS Applied Bio Materials ACS Appl. Electron. Mater. ACS Appl. Energy Mater. ACS Appl. Mater. Interfaces ACS Appl. Nano Mater. ACS Appl. Polym. Mater. ACS BIOMATER-SCI ENG ACS Catal. ACS Cent. Sci. ACS Chem. Biol. ACS Chemical Health & Safety ACS Chem. Neurosci. ACS Comb. Sci. ACS Earth Space Chem. ACS Energy Lett. ACS Infect. Dis. ACS Macro Lett. ACS Mater. Lett. ACS Med. Chem. Lett. ACS Nano ACS Omega ACS Photonics ACS Sens. ACS Sustainable Chem. Eng. ACS Synth. Biol. Anal. Chem. BIOCHEMISTRY-US Bioconjugate Chem. BIOMACROMOLECULES Chem. Res. Toxicol. Chem. Rev. Chem. Mater. CRYST GROWTH DES ENERG FUEL Environ. Sci. Technol. Environ. Sci. Technol. Lett. Eur. J. Inorg. Chem. IND ENG CHEM RES Inorg. Chem. J. Agric. Food. Chem. J. Chem. Eng. Data J. Chem. Educ. J. Chem. Inf. Model. J. Chem. Theory Comput. J. Med. Chem. J. Nat. Prod. J PROTEOME RES J. Am. Chem. Soc. LANGMUIR MACROMOLECULES Mol. Pharmaceutics Nano Lett. Org. Lett. ORG PROCESS RES DEV ORGANOMETALLICS J. Org. Chem. J. Phys. Chem. J. Phys. Chem. A J. Phys. Chem. B J. Phys. Chem. C J. Phys. Chem. Lett. Analyst Anal. Methods Biomater. Sci. Catal. Sci. Technol. Chem. Commun. Chem. Soc. Rev. CHEM EDUC RES PRACT CRYSTENGCOMM Dalton Trans. Energy Environ. Sci. ENVIRON SCI-NANO ENVIRON SCI-PROC IMP ENVIRON SCI-WAT RES Faraday Discuss. Food Funct. Green Chem. Inorg. Chem. Front. Integr. Biol. J. Anal. At. Spectrom. J. Mater. Chem. A J. Mater. Chem. B J. Mater. Chem. C Lab Chip Mater. Chem. Front. Mater. Horiz. MEDCHEMCOMM Metallomics Mol. Biosyst. Mol. Syst. Des. Eng. Nanoscale Nanoscale Horiz. Nat. Prod. Rep. New J. Chem. Org. Biomol. Chem. Org. Chem. Front. PHOTOCH PHOTOBIO SCI PCCP Polym. Chem.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1