Lesson 9 Simple Linear Regression The purpose of this tutorial is to continue our exploration of multivariate statistics by conducting a simple (one explanatory variable) linear regression analysis.

We propose a new parsimonious version of the classical multivariate normal linear model, yielding a maximum likelihood estimator (MLE) that is asymptotically less variable than the MLE based on the ...

Our conclusions thus provide essential recommendations for the development of robust protocols for meta-analysis of binary phenotypes with linear models.

Stuart R. Lipsitz, Methods for Estimating the Parameters of a Linear Model for Ordered Categorical Data, Biometrics, Vol. 48, No. 1 (Mar., 1992), pp. 271-281 ...