Pub Date : 2024-04-17DOI: 10.1080/02664763.2024.2342424
Maximilian Pilz, Meinhard Kieser
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...
采用适应性设计的临床试验中的非盲法中期分析越来越受欢迎。在这里，通过定义适当的条件误差函数来控制 I 型误差率。
{"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}
Pub Date : 2024-04-11DOI: 10.1080/02664763.2024.2338404
Mohammad Parvej, Athar Ali Khan
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...
{"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}
Pub Date : 2024-04-04DOI: 10.1080/02664763.2024.2335564
Kanae Takahashi, Kouji Yamamoto, Ayumi Shintani
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...
{"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}
Pub Date : 2024-04-04DOI: 10.1080/02664763.2024.2337082
Hyungjun Lim, Arlene K. H. Kim
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...
分析从不同来源收集的数据需要进行非配对数据分析，以考虑随机变量 Y 与协变因素 X 之间不存在对应关系的情况。
{"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}
Pub Date : 2024-04-03DOI: 10.1080/02664763.2024.2335570
Xinyu Li, Jianjun Xu, Haoyang Cheng
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 ...
{"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}
Pub Date : 2024-04-03DOI: 10.1080/02664763.2024.2335568
Junyu Nie, Jihnhee Yu
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...
{"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}
Pub Date : 2024-04-02DOI: 10.1080/02664763.2024.2337086
Cleanderson R. Fidelis, Edwin M. M. Ortega, Fábio Prataviera, Roberto Vila, Gauss M. Cordeiro
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...
{"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}
Pub Date : 2024-04-02DOI: 10.1080/02664763.2024.2335569
Kwangmin Lee, Seongmin Kim, Seongil Jo, Jaeyong Lee
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...
{"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}
Pub Date : 2024-03-16DOI: 10.1080/02664763.2024.2329923
Lukas Dargel, Christine Thomas-Agnan
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...
{"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}
Pub Date : 2024-03-05DOI: 10.1080/02664763.2024.2325969
M. Templ, Markus Ulmer
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...
{"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}
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