Applied statistics最新文献

Bayesian design with sampling windows for complex spatial processes 具有采样窗的贝叶斯设计用于复杂空间过程

Applied statistics Pub Date : 2023-11-09 DOI: 10.1093/jrsssc/qlad099

Katie Buchhorn, Kerrie Mengersen, Edgar Santos-Fernandez, Erin E Peterson, James M McGree

引用次数: 2

Bayesian profile regression for clustering analysis involving a longitudinal response and explanatory variables 贝叶斯剖面回归聚类分析涉及纵向响应和解释变量

Applied statistics Pub Date : 2023-11-08 DOI: 10.1093/jrsssc/qlad097

Anaïs Rouanet, Rob Johnson, Magdalena E Strauss, Sylvia Richardson, Brian D Tom, Simon R White, Paul D W Kirk

{"title":"Bayesian profile regression for clustering analysis involving a longitudinal response and explanatory variables","authors":"Anaïs Rouanet, Rob Johnson, Magdalena E Strauss, Sylvia Richardson, Brian D Tom, Simon R White, Paul D W Kirk","doi":"10.1093/jrsssc/qlad097","DOIUrl":"https://doi.org/10.1093/jrsssc/qlad097","url":null,"abstract":"Abstract The identification of sets of co-regulated genes that share a common function is a key question of modern genomics. Bayesian profile regression is a semi-supervised mixture modelling approach that makes use of a response to guide inference toward relevant clusterings. Previous applications of profile regression have considered univariate continuous, categorical, and count outcomes. In this work, we extend Bayesian profile regression to cases where the outcome is longitudinal (or multivariate continuous) and provide PReMiuMlongi, an updated version of PReMiuM, the R package for profile regression. We consider multivariate normal and Gaussian process regression response models and provide proof of principle applications to four simulation studies. The model is applied on budding-yeast data to identify groups of genes co-regulated during the Saccharomyces cerevisiae cell cycle. We identify four distinct groups of genes associated with specific patterns of gene expression trajectories, along with the bound transcriptional factors, likely involved in their co-regulation process.","PeriodicalId":84181,"journal":{"name":"Applied statistics","volume":" 48","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135292695","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: 2

Penalised semi-parametric copula method for semi-competing risks data: application to hip fracture in elderly 半竞争风险数据的惩罚半参数联结法:在老年髋部骨折中的应用

Applied statistics Pub Date : 2023-11-07 DOI: 10.1093/jrsssc/qlad093

Tao Sun, Weijie Liang, Gongzi Zhang, Danhui Yi, Ying Ding, Lihai Zhang

{"title":"Penalised semi-parametric copula method for semi-competing risks data: application to hip fracture in elderly","authors":"Tao Sun, Weijie Liang, Gongzi Zhang, Danhui Yi, Ying Ding, Lihai Zhang","doi":"10.1093/jrsssc/qlad093","DOIUrl":"https://doi.org/10.1093/jrsssc/qlad093","url":null,"abstract":"Abstract Hip fracture is a severe complication in the elderly. The affected people are at a higher risk of second fracture and death occurrence, and the best treatment for hip fractures is still being debated. Aside from the treatment, many factors, such as comorbidity conditions, may be associated with second fracture and death occurrence. This study aims to identify effective treatments and important covariates and estimate their effects on the progression of second fracture and death occurrence in hip fracture elderly patients using the semi-competing risks framework, because death dependently censors a second fracture but not vice versa. Due to the complex semi-competing risks data, performing variable selection simultaneously for second fracture and death occurrence is difficult. We propose a penalised semi-parametric copula method for semi-competing risks data. Specifically, we use separate Cox semi-parametric models for both margins and employ a copula to model the two margins’ dependence. We develop a coordinate-wise optimisation algorithm that takes into account the data structure and copula function’s complexities. Simulations show that the proposed method outperforms the traditional penalised marginal method. We apply the proposed method to a population-based cohort study of hip fracture elderly patients, providing new insights into their treatment and clinical management.","PeriodicalId":84181,"journal":{"name":"Applied statistics","volume":"123 20","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135541994","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

Authors’ reply to the Discussion of “Flexible marked spatio-temporal point process with applications to event sequences from association football” by Narayanan, Kosmidis and Dellaportas 对Narayanan、Kosmidis和delaportas关于“柔性标记时空点过程在足协足球事件序列中的应用”的讨论的回复

Applied statistics Pub Date : 2023-11-03 DOI: 10.1093/jrsssc/qlad101

Santhosh Narayanan, Ioannis Kosmidis, Petros Dellaportas

引用次数: 0

Combining individual- and population-level data to develop a Bayesian parity-specific fertility projection model 结合个人和人口水平的数据，发展贝叶斯特定的生育预测模型

Applied statistics Pub Date : 2023-11-03 DOI: 10.1093/jrsssc/qlad095

Joanne Ellison, Ann Berrington, Erengul Dodd, Jonathan J Forster

引用次数: 0

Horseshoe prior Bayesian quantile regression 马蹄先验贝叶斯分位数回归

Applied statistics Pub Date : 2023-11-02 DOI: 10.1093/jrsssc/qlad091

David Kohns, Tibor Szendrei