Logistic regression is preferrable over a simpler statistical test such as chi-squared test or Fisher’s exact test as it can incorporate more than one explanatory variable and deals with possible ...

Before we learn how to perform multivariate regression in Excel, it is important to have a refresher on regression as a whole and multivariate regression in particular. One of the hallmarks of ...

et al. Comparison of multivariate adaptive regression splines and logistic regression in detecting SNP–SNP interactions and their application in prostate cancer. J Hum Genet 53 , 802–811 (2008 ...

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 ...

Jerome H. Friedman, Multivariate Adaptive Regression Splines, The Annals of Statistics, Vol. 19, No. 1 (Mar., 1991), pp. 1-67 Free online reading for over 10 million articles Save and organize content ...

This article presents a new method for maximum likelihood estimation of logistic regression models with incomplete covariate data where auxiliary information is ... Fitzmaurice, G. M., Laird, N. M., ...