Kernel machine regression is a nonparametric regression method widely applied in biomedical and environmental health research. It employs a kernel function to measure the similarities between sample pairs, effectively identifying significant exposures and assessing their nonlinear impacts on outcomes. This article introduces an enhanced framework, the generalized Bayesian kernel machine regression. In comparison to traditional kernel machine regression, generalized Bayesian kernel machine regression provides substantial flexibility to accommodate a broader array of outcome variables, ranging from continuous to binary and count data. Simulations show generalized Bayesian kernel machine regression can successfully identify the nonlinear relationships between independent variables and outcomes of various types. In the real data analysis, we applied generalized Bayesian kernel machine regression to uncover cytosine phosphate guanine sites linked to health-related conditions such as asthma and smoking. The results identify crucial cytosine phosphate guanine sites and provide insights into their complex, nonlinear relationships with outcome variables.

Xichen Mou

Hongmei Zhang

S Hasan Arshad

Statistical Methods in Medical Research

STATISTICAL METHODS IN MEDICAL RESEARCH 是一份同行评审的学术期刊，是医学统计学所有主要领域文章的主要载体，也是所有医学统计学家的重要参考资料。这本独特的期刊只专注于统计和医学，旨在让专业人士了解医学界现在可以使用的许多强大的统计技术。该期刊是出版伦理委员会 (COPE) 的成员

Statistical Methods in Medical Research is a peer-reviewed academic journal that serves as a primary platform for articles in all major areas of medical statistics, making it an essential reference for all medical statisticians. This unique journal focuses exclusively on the intersection of statistics and medicine, aiming to inform professionals about the many powerful statistical techniques currently available in the medical field. Furthermore, the journal is a member of the Committee on Publication Ethics (COPE).

《Statistical Methods in Medical Research》是一本经过同行评审的学术期刊，涵盖医学统计学的所有主要领域，成为医学统计学家们的重要参考资料。这本独特的期刊专注于统计学与医学的结合，旨在帮助专业人士了解医学界当前可用的多种强大统计技术。此外，该期刊还是出版伦理委员会（COPE）的成员。

Category	Quartile
医学	3
医学, 数学与计算生物学	2
医学, 统计学与概率论	3
医学, 卫生保健与服务	4
医学, 医学信息	4

Generalized Bayesian kernel machine regression

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Journal Info

Category	Quartile
STATISTICS & PROBABILITY	1