Xinyu Zhou,Wei Wu
Xinyu Zhou
Metric-based summary statistics such as mean and covariance have been introduced in neural spike train space. They can properly describe template and variability in spike train data, but are often sensitive to outliers and expensive to comp...
Bayesian modeling framework for optimizing pre-hospital stroke triage decisions [0.03%]
基于 Bayesian 的建模框架在院前卒中分类决策中的应用优化研究
Uche Nwoke,Mudassir Farooqui,Jacob Oleson et al.
Uche Nwoke et al.
Ischemic stroke is responsible for significant morbidity and mortality in the United States and worldwide. Stroke treatment optimization requires emergency medical personnel to make rapid triage decisions concerning destination hospitals th...
A new EWMA chart for simultaneously monitoring the parameters of a shifted exponential distribution [0.03%]
一种新的EWMA图：同时监测指数分布参数的变化
Amita Baranwal,Nirpeksh Kumar,Kashinath Chatterjee et al.
Amita Baranwal et al.
In various scenarios where products and services are accompanied by warranties to ensure their reliability over a specified time, the two-parameter (shifted) exponential distribution serves as a fundamental model for time-to-event data. In ...
Monitoring the inverted exponentiated half logistic quantiles under the adaptive progressive type II hybrid censoring scheme [0.03%]
自适应渐进型II混合删失方案下逆指数对数半分布分位点的监测问题
Jiao Yu,Chunjie Wu,Ping Luo
Jiao Yu
Numerous studies have solved the problem of monitoring statistical processes with complete samples. However, censored or incomplete samples are commonly encountered due to constraints such as time and cost. Adaptive progressive Type II hybr...
Bayesian fractional polynomial approach to quantile regression and variable selection with application in the analysis of blood pressure among US adults [0.03%]
美国成年人血压的分位数回归及变量选择的贝叶斯分数多项式方法分析
Sanna Soomro,Keming Yu
Sanna Soomro
Although the fractional polynomials (FPs) can act as a concise and accurate formula for examining smooth relationships between response and predictors, modelling conditional mean functions observes the partial view of a distribution of resp...
Outcome-guided Bayesian clustering for disease subtype discovery using high-dimensional transcriptomic data [0.03%]
基于高维转录组数据的结局引导贝叶斯聚类的疾病亚型发现方法
Lingsong Meng,Zhiguang Huo
Lingsong Meng
Due to the tremendous heterogeneity of disease manifestations, many complex diseases that were once thought to be single diseases are now considered to have disease subtypes. Disease subtyping analysis, that is the identification of subgrou...
Joint modeling of correlated binary outcomes using multivariate logistic regression: contraception and HIV knowledge in Sri Lanka [0.03%]
基于多元逻辑回归的联合建模：斯里兰卡的避孕和艾滋病知识调查
N M Wijesekara,N Withanage,N R Abeynayake
N M Wijesekara
Reproductive health significantly contributes to the overall well-being and social welfare of women. Within the spectrum of modern and traditional contraceptive methods in use, condoms have been strongly advocated by numerous HIV programs a...
Beomjin Park,Changyi Park,Sungchul Hong et al.
Beomjin Park et al.
Clustering is an essential technique that groups similar data points to uncover the underlying structure and features of the data. Although traditional clustering methods such as k-means are widely utilized, they have limitations in identif...
Optimal design of variables switch-based sampling scheme for verifying Weibull distributed product lifetimes [0.03%]
基于变量切换的抽样方案的优化设计以验证威布尔分布的产品寿命
Chien-Wei Wu,Ming-Hung Shu,To-Cheng Wang
Chien-Wei Wu
Ensuring products maintain their normal function during the warranty period is essential for companies to control warranty costs and sustain their brand reputation. A variables acceptance sampling (VAS) plan based on the lifetime performanc...
Z-residual diagnostic tool for assessing covariate functional form in shared frailty models [0.03%]
共享脆弱性模型中评估协变量函数形式的Z残差诊断工具
Tingxuan Wu,Longhai Li,Cindy Feng
Tingxuan Wu
Survival analysis often involves modeling hazard functions while considering frailty to account for unobserved cluster-level factors in clustered survival data. Shared frailty models have gained popularity for this purpose, but assessing co...