A multiple regression analysis with model selection, such as that presented above, might suffer from over-fitting of effects, because the residual variance decreases as more and more SNPs are ...

Description: Inference in simple and multiple linear regression, residual analysis, transformations, polynomial regression, model building with real data, nonlinear regression. One-way and two-way ...

The outlying tendency of any case in a multiple regression of p predictors may be estimated by drawing all subsets of size p from the remaining cases and fitting the model. Each such subset yields an ...

Regression analysis is a quantitative tool that is easy to use and can provide valuable information on financial analysis and forecasting.

Abstract Regression interval mapping and multiple interval mapping are compared with regard to mapping linked quantitative trait loci (QTL) in inbred-line cross experiments.

We discuss statistical and biological issues that may arise in applications of Lande and Arnold's (1983) multiple-regression approach to measuring selection. We review assumptions involved in ...

This paper provides an overview of common assumptions and details methods for assumption verification, including residual analysis, normality tests, and variance inflation factors.

The analysis confirms the value of minimal residual disease (MRD) as a prognostic indicator in multiple myeloma (MM) measured by next-generation sequencing (NGS), using a prior version of Adaptive ...