Multivariate Monitoring Charts for Log-Binomial Regression

The log-binomial regression model is an essential tool for performing relative risk regression to analyze binary outcomes. The Hotelling T2 Control Chart is an effective multivariate process monitoring tool capable of monitoring changes in multiple variables simultaneously. This article combines a multivariate log-binomial regression model with a Hotelling T2 control chart to monitor multiple regression coefficients simultaneously. The challenge is to ensure that the probability of the event occurring (p) does not exceed 1 when adding data drift.

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Published
2025-02-28
DOI
https://doi.org/10.1109/isbdas64762.2025.11116801
Primary Topic
Advanced Statistical Process Monitoring
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article
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article

Multivariate Monitoring Charts for Log-Binomial Regression

Wei Feng, Xuemin Zi
Advanced Statistical Process Monitoring
article

Multivariate Monitoring Charts for Log-Binomial Regression

Wei Feng, Xuemin Zi
article en

Abstract

The log-binomial regression model is an essential tool for performing relative risk regression to analyze binary outcomes. The Hotelling T2 Control Chart is an effective multivariate process monitoring tool capable of monitoring changes in multiple variables simultaneously. This article combines a multivariate log-binomial regression model with a Hotelling T2 control chart to monitor multiple regression coefficients simultaneously. The challenge is to ensure that the probability of the event occurring (p) does not exceed 1 when adding data drift.

Tianjin University of Technology and Education (CN)
Openalex Percentile: Top 79%
Advanced Statistical Process Monitoring
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