Samuel M. Mwalili, Emmanuel Lesaffre, Dominique Declerck, A Bayesian Ordinal Logistic Regression Model to Correct for Interobserver Measurement Error in a Geographical Oral Health Study, Journal of ...

This paper describes a method for a model-based analysis of clinical safety data called multivariate Bayesian logistic regression (MBLR). Parallel logistic regression models are fit to a set of ...

Relative preference weights and relative importance were estimated by hierarchical Bayesian logistic regression. Physicians were also asked to make treatment decisions based on four hypothetical ...

Assignment to treatment was based on Bayesian inference of a logistic regression model describing the dose-toxicity relationship and was guided by the escalation with overdose control principle. 21 ...

In phase 1, the study aimed to determine the maximum tolerated dose and/or the recommended phase 2 dose of HDP-101, with dose escalation guided by an adaptive Bayesian logistic regression model ...

Discover how linear regression works, from simple to multiple linear regression, with step-by-step examples, graphs and real-world applications.