JSTOR Daily

Multivariate functional-coefficient regression models for nonlinear vector time series data

Vector time series data are widely met in practice. In this paper we propose a multivariate functional-coefficient regression model with heteroscedasticity for modelling such data. A local linear ...
JSTOR Daily

Multivariate Regression and Simultaneous Equation Models when the Dependent Variables Are Truncated Normal

This paper extends the single equation regression model with the truncated dependent variable considered by Tobin [10] and Amemiya [1] to multivariate and simultaneous equation models and proposes a ...
Harvard Business Review

A Refresher on Regression Analysis

Understanding one of the most important types of data analysis. by Amy Gallo You probably know by now that whenever possible you should be making data-driven decisions at work. But do you know how to ...
Nature

Multivariate regression analyses of data from a randomised, double-blind, placebo-controlled study confirm quality of life benefit of epoetin alfa in patients receiving non ...

The design of the study has been described previously (Littlewood et al, 2001). Briefly, the randomised, double-blind, placebo-controlled trial was conducted in 15 countries at 73 sites with 375 ...
Nature

Comparison of multivariate adaptive regression splines and logistic regression in detecting SNP–SNP interactions and their application in prostate cancer

Single nucleotide polymorphism (SNP) interaction plays a critical role for complex diseases. The primary limitation of logistic regressions (LR) in testing SNP–SNP interactions is that coefficient ...