Linear mixed models are increasingly used for the analysis of genome-wide association studies (GWAS) of binary phenotypes because they can efficiently and robustly account for population ...

Linear algebra is essential for understanding core data science concepts like machine learning, neural networks, and data transformations.D ...

Ordinary linear regression (OLR) assumes that response variables are continuous. Generalized Linear Models (GLMs) provide an extension to OLR since response variables can be continuous or discrete ...

Per Kragh Andersen, John P. Klein, Susanne Rosthøj, Generalised Linear Models for Correlated Pseudo-Observations, with Applications to Multi-State Models, Biometrika ...

Karmeshu, V. P. Jain, Non-Linear Models of Social Systems, Economic and Political Weekly, Vol. 38, No. 35 (Aug. 30 - Sep. 5, 2003), ... Conventional linear approach is too simplistic a framework to ...