Communications in Statistics-Simulation and Computation最新文献

Bayesian variable selection for logistic regression with a differentially misclassified binary covariate. 歧义错分类二元协变量逻辑回归的贝叶斯变量选择。

IF 0.8 4区数学

Communications in Statistics-Simulation and Computation Pub Date : 2025-05-05 DOI: 10.1080/03610918.2025.2496305

Daniel P Beavers, Yutong Li, James D Stamey, Stephanie Powers, Walter T Ambrosius

引用次数: 0

Statistical methods for assessing treatment effects on ordinal outcomes using observational data. 使用观察数据评估治疗效果对有序结果的统计方法。

IF 0.8 4区数学

Communications in Statistics-Simulation and Computation Pub Date : 2025-04-14 DOI: 10.1080/03610918.2025.2488945

Huirong Hu, Qi Zheng, Maiying Kong

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引用次数: 0

Automated Parameter Selection in Singular Spectrum Analysis for Time Series Analysis. 时间序列分析中奇异谱分析参数的自动选择。

IF 0.8 4区数学

Communications in Statistics-Simulation and Computation Pub Date : 2025-01-28 DOI: 10.1080/03610918.2025.2456575

James J Yang, Anne Buu

{"title":"Automated Parameter Selection in Singular Spectrum Analysis for Time Series Analysis.","authors":"James J Yang, Anne Buu","doi":"10.1080/03610918.2025.2456575","DOIUrl":"https://doi.org/10.1080/03610918.2025.2456575","url":null,"abstract":"In spite of wide applications of the singular spectrum analysis (SSA) method, understanding how SSA reconstructs time series and eliminates noise remains challenging due to its complex process. This study provided a novel geometric perspective to elucidate the underlying mechanism of SSA. To address the key issue of conventional SSA that requires a fixed window length and a given threshold for determining the number of groups, we proposed a sequential reconstruction approach that averages reconstructed series from various window lengths with a stopping rule based on a symmetric test. Three main advantages of the proposed method were demonstrated by the simulations and real data analysis of 7-day heart rate data from an e-cigarette user: 1) requiring no prior knowledge of the window length or group number; 2) yielding smaller values of root mean square error (RMSE) than the conventional SSA; and 3) revealing both local features and sudden changes related to events of interest. While conventional SSA excels in extracting stable signal structures, the proposed method is tailored for time series with varying structures such as heart rate data from smartwatches, and thus will have even wider applications.","PeriodicalId":55240,"journal":{"name":"Communications in Statistics-Simulation and Computation","volume":" ","pages":""},"PeriodicalIF":0.8,"publicationDate":"2025-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12352492/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144979298","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: 0

Adjusted curves for clustered survival and competing risks data. 聚类生存和竞争风险数据的调整曲线。

IF 0.8 4区数学

Communications in Statistics-Simulation and Computation Pub Date : 2025-01-01 Epub Date: 2023-08-16 DOI: 10.1080/03610918.2023.2245583

Manoj Khanal, Soyoung Kim, Kwang Woo Ahn

{"title":"Adjusted curves for clustered survival and competing risks data.","authors":"Manoj Khanal, Soyoung Kim, Kwang Woo Ahn","doi":"10.1080/03610918.2023.2245583","DOIUrl":"10.1080/03610918.2023.2245583","url":null,"abstract":"Observational studies with right-censored data often have clustered data due to matched pairs or a study center effect. In such data, there may be an imbalance in patient characteristics between treatment groups, where Kaplan-Meier curves or unadjusted cumulative incidence curves can be misleading and may not represent the average patient on a given treatment arm. Adjusted curves are desirable to appropriately display survival or cumulative incidence curves in this case. We propose methods for estimating the adjusted survival and cumulative incidence probabilities for clustered right-censored data. For the competing risks outcome, we allow both covariate-independent and covariate-dependent censoring. We develop an R package adjSURVCI to implement the proposed methods. It provides the estimates of adjusted survival and cumulative incidence probabilities along with their standard errors. Our simulation results show that the adjusted survival and cumulative incidence estimates of the proposed method are unbiased with approximate 95% coverage rates. We apply the proposed method to stem cell transplant data of leukemia patients.","PeriodicalId":55240,"journal":{"name":"Communications in Statistics-Simulation and Computation","volume":" 3","pages":"120-143"},"PeriodicalIF":0.8,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11708817/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72382911","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: 0

Bayes factors for longitudinal model assessment via power posteriors 通过功率后验评估纵向模型的贝叶斯系数

IF 0.9 4区数学

Communications in Statistics-Simulation and Computation Pub Date : 2024-09-16 DOI: 10.1080/03610918.2024.2399159

Gabriel Calvo, Carmen Armero, Luigi Spezia, Maria Grazia Pennino

引用次数: 0

Joint modeling of mixed skewed longitudinal responses using convolution of normal and log-normal distributions: a Bayesian approach 利用正态分布和对数正态分布的卷积对混合倾斜纵向响应进行联合建模：一种贝叶斯方法

IF 0.9 4区数学

Communications in Statistics-Simulation and Computation Pub Date : 2024-09-16 DOI: 10.1080/03610918.2024.2401437

R. Malekpour, T. Baghfalaki, M. Ganjali, A. Pourdarvish

引用次数: 0

Statistical models of ballot truncation in ranked choice elections 排序选择选举中选票截断的统计模型

IF 0.9 4区数学

Communications in Statistics-Simulation and Computation Pub Date : 2024-09-14 DOI: 10.1080/03610918.2024.2397032

Christina Hoffman, Jakini Auset Kauba, Julie C. Reidy, Thomas Weighill

引用次数: 0

Memory-type time-between-events charts using nonhomogeneous Poisson process 使用非均质泊松过程的记忆型事件间时间图表

IF 0.9 4区数学

Communications in Statistics-Simulation and Computation Pub Date : 2024-09-13 DOI: 10.1080/03610918.2024.2401443

Sajid Ali

引用次数: 0

Poisson-stopped sum Lévy-type processes with application to stochastic modeling of hospital arrivals 应用于医院到院人数随机建模的泊松阻塞和勒维型过程

IF 0.9 4区数学

Communications in Statistics-Simulation and Computation Pub Date : 2024-09-11 DOI: 10.1080/03610918.2024.2391883

Harpreet Singh, Seng Huat Ong, Choung Min Ng, Kurunathan Ratnavelu

引用次数: 0

Approximation of the lognormal distribution as a solution to the sum of lognormal variates 对数正态分布的近似值，作为对数正态变量之和的解

IF 0.9 4区数学

Communications in Statistics-Simulation and Computation Pub Date : 2024-09-05 DOI: 10.1080/03610918.2024.2394571

Toh Kuan Wei, Nora Muda, Asyraf Nadia Mohd Yunus, Abdul Rahman Othman, Sonia Aïssa, Nor Aishah Ahad

引用次数: 0