University of Bristol3y
14 Introduction to regression models
If this hypothesis is true, then our linear model is not "useful," in the sense ... statistical inference apply to regression coefficients. The regression coefficient would vary on repeated ...
Scientific Research Publishing5d
Evaluations of Machine Learning Algorithms Using Simulation Study ()
Khatun, N. (2025) Evaluations of Machine Learning Algorithms Using Simulation Study. Open Journal of Statistics, 15, 41-52.
University of Bristol3y
Introduction to Linear and Logistic Regression Models
Linear and logistic regression models are essential tools for quantifying the relationship between outcomes and exposures. Understanding the mathematics behind these models and being able to apply ...
BMJ19d
Biomechanics laboratory-based prediction algorithm to identify female athletes with high knee loads that increase risk of ACL injury
Linear regression was used to model KAM, and logistic regression was used to examine high (>25.25 Nm of KAM) versus low KAM as surrogate for ACL injury risk. Results The most parsimonious model ...