Addressing outliers in mixed-effects logistic regression: a more robust modeling approach [0.03%]
混合效应逻辑回归中的异常值处理：一种更稳健的建模方法
Divan A Burger,Sean van der Merwe,Emmanuel Lesaffre
Divan A Burger
This study introduces an outlier-robust model for analyzing hierarchically structured bounded count data within a Bayesian framework, utilizing a logistic regression approach implemented in JAGS. Our model incorporates a t-distributed laten...
APCanalysis: an R package for identifying active factors using the APC method [0.03%]
APCanalysis：一个使用APC方法识别活跃因素的R软件包
Abu Zar Md Shafiullah,Arden Miller
Abu Zar Md Shafiullah
Unreplicated two-level designs play an important role in screening experiments. Notably, Plackett-Burman designs (PBDs) and regular fractional factorial designs ( 2 k - p ) are commonly used for their flexible run sizes and orthogonal con...
Optimal design for matched pair cluster randomized trials with heterogeneous correlations and costs [0.03%]
具有异质相关性和成本的匹配成对聚类随机试验的最优设计
Arpan Singh
Arpan Singh
Conducting studies using cluster randomized trials (CRTs) is often a costly endeavor. When budget constraints are present, it becomes crucial to design CRTs optimally under the given cost limitations. A matched pair CRT, is a trial in which...
A mixed Bell regression model for overdispersed medical count data [0.03%]
一种混合Bell回归模型用于过度离散的医疗计数数据
Naiara C A Dos Santos,Jorge L Bazán,Artur J Lemonte
Naiara C A Dos Santos
In this article, we consider the discrete Bell distribution to introduce a new mixed-effects regression model that may be an interesting alternative to traditional mixed-effects models for count response variables. The new regression model ...
Cardinality-based sparse singular value decomposition for similarity matrices [0.03%]
基于基数的稀疏奇异值分解在相似矩阵中的应用
Joseph Boccardo,William Tanberg,Jeffrey C Miecznikowski
Joseph Boccardo
Sparse decomposition methods have been studied in the context of principal component analysis (PCA). Many of these methods control the number of non-zero elements of the eigenvector through the tuning of a regularization parameter(s). Other...
Kundan Singh,Chandrakant Lodhi,Yogesh Mani Tripathi et al.
Kundan Singh et al.
In this paper, we consider a balanced joint progressive type-II censoring scheme and develop inference procedures for populations exhibiting bathtub-shaped hazard rates. Such models are appropriate for modeling phenomena which indicate non-...
Unveiling topic dependencies through a multilevel topic model: a hierarchical approach to enhanced interpretability [0.03%]
通过多级主题模型揭示主题依赖关系：增强解释性的分层方法
Youngsun Kim,Hwan Chung,Saebom Jeon
Youngsun Kim
Topic modeling is a process that discovers key themes in unstructured text data by identifying the distribution of topics and words in a document, revealing hidden dimensions. Latent Dirichlet allocation is a widely used generative probabil...
Optimal ridge estimation in the restricted logistic semiparametric regression models using generalized cross-validation [0.03%]
限制性逻辑回归半参数模型中使用广义交叉验证的最优岭估计
Mahdi Roozbeh
Mahdi Roozbeh
Binary logistic semiparametric regression analysis is a commonly used statistical technique when the dependent variable is dichotomous or binary. In this analysis, the relationship between the success probability and certain explanatory var...
Detecting statistical interactions in immune receptor data: a comparative study [0.03%]
免疫受体数据中统计交互作用的检测：一项比较研究
Thomas Minotto,Ingrid Hobæk Haff,Enrico Riccardi et al.
Thomas Minotto et al.
Statistical interactions are part of numerous data generating processes and several methods have been developed to detect them. We here study immune receptors binding to antigens, where advanced machine learning techniques have proved usefu...
One parameter stochastic distribution of ratio for cross-disciplinary applications: system reliability, healthcare, and energy consumption [0.03%]
适用于跨学科应用的比率一参量随机分布：系统可靠性、医疗保健和能源消耗
Muhammad Ilyas,Muhammad Mohsin
Muhammad Ilyas
Statistical modeling of real-life phenomena analyzes their behavior and patterns by quantifying the inherent uncertainty and describes the possible outcomes which help to make proactive strategies attaining optimum results. This paper intro...