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New results on optimal conditional error functions for adaptive two-stage designs 自适应两阶段设计的最佳条件误差函数新结果
IF 1.5 4区 数学
Journal of Applied Statistics Pub Date : 2024-04-17 DOI: 10.1080/02664763.2024.2342424
Maximilian Pilz, Meinhard Kieser
{"title":"New results on optimal conditional error functions for adaptive two-stage designs","authors":"Maximilian Pilz, Meinhard Kieser","doi":"10.1080/02664763.2024.2342424","DOIUrl":"https://doi.org/10.1080/02664763.2024.2342424","url":null,"abstract":"Unblinded interim analyses in clinical trials with adaptive designs are gaining increasing popularity. Here, the type I error rate is controlled by defining an appropriate conditional error functio...","PeriodicalId":15239,"journal":{"name":"Journal of Applied Statistics","volume":null,"pages":null},"PeriodicalIF":1.5,"publicationDate":"2024-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140612869","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 extension of the Weibull AFT shared frailty model with generalized family of distributions for enhanced survival analysis using censored data 使用广义分布族对 Weibull AFT 共享虚弱模型进行贝叶斯扩展，以利用删失数据加强生存分析
IF 1.5 4区 数学
Journal of Applied Statistics Pub Date : 2024-04-11 DOI: 10.1080/02664763.2024.2338404
Mohammad Parvej, Athar Ali Khan
{"title":"Bayesian extension of the Weibull AFT shared frailty model with generalized family of distributions for enhanced survival analysis using censored data","authors":"Mohammad Parvej, Athar Ali Khan","doi":"10.1080/02664763.2024.2338404","DOIUrl":"https://doi.org/10.1080/02664763.2024.2338404","url":null,"abstract":"In survival analysis, the Accelerated Failure Time (AFT) shared frailty model is a widely used framework for analyzing time-to-event data while accounting for unobserved heterogeneity among individ...","PeriodicalId":15239,"journal":{"name":"Journal of Applied Statistics","volume":null,"pages":null},"PeriodicalIF":1.5,"publicationDate":"2024-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140570067","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
A combined superiority and non-inferiority procedure for comparing predictive values of two diagnostic tests 比较两种诊断测试预测值的优劣结合程序
IF 1.5 4区 数学
Journal of Applied Statistics Pub Date : 2024-04-04 DOI: 10.1080/02664763.2024.2335564
Kanae Takahashi, Kouji Yamamoto, Ayumi Shintani
{"title":"A combined superiority and non-inferiority procedure for comparing predictive values of two diagnostic tests","authors":"Kanae Takahashi, Kouji Yamamoto, Ayumi Shintani","doi":"10.1080/02664763.2024.2335564","DOIUrl":"https://doi.org/10.1080/02664763.2024.2335564","url":null,"abstract":"Positive and negative predictive values are useful to quantify the performance of medical tests, and both are often used simultaneously. Although there are several methods to test the equality of t...","PeriodicalId":15239,"journal":{"name":"Journal of Applied Statistics","volume":null,"pages":null},"PeriodicalIF":1.5,"publicationDate":"2024-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140570227","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
Matching a discrete distribution by Poisson matching quantiles estimation 通过泊松匹配量子估计匹配离散分布
IF 1.5 4区 数学
Journal of Applied Statistics Pub Date : 2024-04-04 DOI: 10.1080/02664763.2024.2337082
Hyungjun Lim, Arlene K. H. Kim
{"title":"Matching a discrete distribution by Poisson matching quantiles estimation","authors":"Hyungjun Lim, Arlene K. H. Kim","doi":"10.1080/02664763.2024.2337082","DOIUrl":"https://doi.org/10.1080/02664763.2024.2337082","url":null,"abstract":"Analyzing the data collected from different sources requires unpaired data analysis to account for the absence of correspondence between the random variable Y and the covariates X. Several attempts...","PeriodicalId":15239,"journal":{"name":"Journal of Applied Statistics","volume":null,"pages":null},"PeriodicalIF":1.5,"publicationDate":"2024-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140570397","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
Functional sufficient dimension reduction through information maximization with application to classification 通过信息最大化实现功能充分降维并应用于分类
IF 1.5 4区 数学
Journal of Applied Statistics Pub Date : 2024-04-03 DOI: 10.1080/02664763.2024.2335570
Xinyu Li, Jianjun Xu, Haoyang Cheng
{"title":"Functional sufficient dimension reduction through information maximization with application to classification","authors":"Xinyu Li, Jianjun Xu, Haoyang Cheng","doi":"10.1080/02664763.2024.2335570","DOIUrl":"https://doi.org/10.1080/02664763.2024.2335570","url":null,"abstract":"Considering the case where the response variable is a categorical variable and the predictor is a random function, two novel functional sufficient dimensional reduction (FSDR) methods are proposed ...","PeriodicalId":15239,"journal":{"name":"Journal of Applied Statistics","volume":null,"pages":null},"PeriodicalIF":1.5,"publicationDate":"2024-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140570265","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 factor selection in a hybrid approach to confirmatory factor analysis 确认性因子分析混合方法中的贝叶斯因子选择
IF 1.5 4区 数学
Journal of Applied Statistics Pub Date : 2024-04-03 DOI: 10.1080/02664763.2024.2335568
Junyu Nie, Jihnhee Yu
{"title":"Bayesian factor selection in a hybrid approach to confirmatory factor analysis","authors":"Junyu Nie, Jihnhee Yu","doi":"10.1080/02664763.2024.2335568","DOIUrl":"https://doi.org/10.1080/02664763.2024.2335568","url":null,"abstract":"To investigate latent structures of measured variables, various factor structures are used for confirmatory factor analysis, including higher-order models and more flexible bifactor models. In prac...","PeriodicalId":15239,"journal":{"name":"Journal of Applied Statistics","volume":null,"pages":null},"PeriodicalIF":1.5,"publicationDate":"2024-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140570266","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
Reparametrized generalized gamma partially linear regression with application to breast cancer data 应用于乳腺癌数据的重拟态广义伽玛部分线性回归
IF 1.5 4区 数学
Journal of Applied Statistics Pub Date : 2024-04-02 DOI: 10.1080/02664763.2024.2337086
Cleanderson R. Fidelis, Edwin M. M. Ortega, Fábio Prataviera, Roberto Vila, Gauss M. Cordeiro
{"title":"Reparametrized generalized gamma partially linear regression with application to breast cancer data","authors":"Cleanderson R. Fidelis, Edwin M. M. Ortega, Fábio Prataviera, Roberto Vila, Gauss M. Cordeiro","doi":"10.1080/02664763.2024.2337086","DOIUrl":"https://doi.org/10.1080/02664763.2024.2337086","url":null,"abstract":"We construct a new partially linear regression based on a reparametrized generalized gamma distribution with two systematic components that can be easily interpreted. Its parameters are estimated b...","PeriodicalId":15239,"journal":{"name":"Journal of Applied Statistics","volume":null,"pages":null},"PeriodicalIF":1.5,"publicationDate":"2024-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140570269","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 world seroprevalence of SARS-CoV-2 antibodies 估计全世界 SARS-CoV-2 抗体的血清流行率
IF 1.5 4区 数学
Journal of Applied Statistics Pub Date : 2024-04-02 DOI: 10.1080/02664763.2024.2335569
Kwangmin Lee, Seongmin Kim, Seongil Jo, Jaeyong Lee
{"title":"Estimation of world seroprevalence of SARS-CoV-2 antibodies","authors":"Kwangmin Lee, Seongmin Kim, Seongil Jo, Jaeyong Lee","doi":"10.1080/02664763.2024.2335569","DOIUrl":"https://doi.org/10.1080/02664763.2024.2335569","url":null,"abstract":"In this paper, we estimate the seroprevalence against COVID-19 by country and derive the seroprevalence over the world. To estimate seroprevalence among adults, we use serological surveys (also cal...","PeriodicalId":15239,"journal":{"name":"Journal of Applied Statistics","volume":null,"pages":null},"PeriodicalIF":1.5,"publicationDate":"2024-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140570219","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
The link between multiplicative competitive interaction models and compositional data regression with a total 乘法竞争交互模型与成分数据回归之间的联系，总计
IF 1.5 4区 数学
Journal of Applied Statistics Pub Date : 2024-03-16 DOI: 10.1080/02664763.2024.2329923
Lukas Dargel, Christine Thomas-Agnan
{"title":"The link between multiplicative competitive interaction models and compositional data regression with a total","authors":"Lukas Dargel, Christine Thomas-Agnan","doi":"10.1080/02664763.2024.2329923","DOIUrl":"https://doi.org/10.1080/02664763.2024.2329923","url":null,"abstract":"This article sheds light on the relationship between compositional data (CoDa) regression models and multiplicative competitive interaction (MCI) models, which are two approaches for modeling share...","PeriodicalId":15239,"journal":{"name":"Journal of Applied Statistics","volume":null,"pages":null},"PeriodicalIF":1.5,"publicationDate":"2024-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140150354","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
The impact of misclassifications and outliers on imputation methods 误分类和异常值对估算方法的影响
IF 1.5 4区 数学
Journal of Applied Statistics Pub Date : 2024-03-05 DOI: 10.1080/02664763.2024.2325969
M. Templ, Markus Ulmer
{"title":"The impact of misclassifications and outliers on imputation methods","authors":"M. Templ, Markus Ulmer","doi":"10.1080/02664763.2024.2325969","DOIUrl":"https://doi.org/10.1080/02664763.2024.2325969","url":null,"abstract":"Many imputation methods have been developed over the years and tested mostly under ideal settings. Surprisingly, there is no detailed research on how imputation methods perform when the idealized a...","PeriodicalId":15239,"journal":{"name":"Journal of Applied Statistics","volume":null,"pages":null},"PeriodicalIF":1.5,"publicationDate":"2024-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140034978","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
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