A note on logistic regression and logistic kernel machine models
Ru Wang, Jie Peng, Pei Wang
TL;DR
This paper discusses the mathematical derivations related to logistic regression and logistic kernel machine models, providing clarifications and insights relevant to genetic association studies.
Contribution
It offers detailed derivations and clarifications for logistic regression and kernel machine models in the context of genetic data analysis.
Findings
Provides derivations for logistic models
Clarifies expressions used in genetic association analysis
Supports better understanding of kernel machine models
Abstract
This is a note on logistic regression models and logistic kernel machine models. It contains derivations to some of the expressions in a paper -- SNP Set Analysis for Detecting Disease Association Using Exon Sequence Data -- submitted to BMC proceedings by these authors.
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Taxonomy
TopicsNeural Networks and Applications · Statistical Methods and Inference · Data Mining Algorithms and Applications