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Exploring causal correlations between oily fish intake and multiple sclerosis: A two-sample Mendelian randomization study. [PDF]

Asia Pac J Clin Nutr
Chang S, Shi K, Zhang M.
europepmc   +1 more source

Hydroxychloroquine Associated With Lower Glomerular Filtration Rate Decline in Lupus Nephritis

Arthritis Care &Research, EarlyView.
Objective Hydroxychloroquine (HCQ) protects kidney function in lupus nephritis (LN) by preventing flares, yet some cohort studies show no significant benefit in kidney function with HCQ. Clarifying these conflicting findings by showing early and long‐term benefits of HCQ on kidney function preservation is critical.
Shivani Garg, Brad Rovin, Brad C. Astor, Tripti Singh, Fauzia Hollnagel, Megan Kuik, Lexie Kolton, Callie Saric, S. Sam Lim, Christie M. Bartels   +9 more
wiley   +1 more source

Multiple Regression Analysis

Advanced Statistics for Testing Assumed Casual Relationships, 1998
So far we have considered only one regressor X besides the constant in the regression equation. Economic relationships usually include more than one regressor. For example, a demand equation for a product will usually include real price of that product in addition to real income as well as real price of a competitive product and the advertising ...
B. Baltagi
openaire   +2 more sources

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Multiple Regression Analysis

2016
William M. Mendenhall, Terry L. Sincich
semanticscholar   +6 more sources

Multiple Regression Analysis

IBM SPSS Statistics 25 Step by Step, 2018
Sally A. Lesik
openaire   +2 more sources

Residuals in Multiple Regression Analysis

Journal of Pharmaceutical Sciences, 1985
An examination of residuals can be used as a technique to determine the best model for use in multiple-regression analysis. In addition to R2 and the Fisher F ratio, a complete analysis of residuals has been used by statisticians for many years to estimate bias and to choose the best equation to fit physicochemical as well as biological and ...
Y J, Jeng, A, Martin
openaire   +2 more sources

Regression analysis of multiple protein structures

Proceedings of the second annual international conference on Computational molecular biology - RECOMB '98, 1998
A general framework is presented for analyzing multiple protein structures using statistical regression methods. The regression approach can superimpose protein structures rigidly or with shear. Also, this approach can superimpose multiple structures explicitly, without resorting to pairwise superpositions.
T D, Wu, S C, Schmidler, T, Hastie, D L, Brutlag   +3 more
openaire   +2 more sources

Application and interpretation of linear-regression analysis

Medical hypothesis, discovery & innovation ophthalmology journal
Background: Linear-regression analysis is a well-known statistical technique that serves as a basis for understanding the relationships between variables.
Narges Roustaei
semanticscholar   +1 more source

Multiple Regression Analysis

2020
This chapter describes the multiple linear regression by a nontechnical language and simple examples. Section 1.1 shows how this technique can recreate the real relationships between the variables (phenomena) as a regression equation. It illustrates how the dependent variable (effect) is related to each of the independent variables (causes) as ...
openaire   +1 more source

Regression analysis of multiple outcomes. [PDF]

Epidemiologia e prevenzione, 2001
In this paper we present an extension of the regression models to more than one response and more than one group of covariates, in a way that purely explanatory and intermediate variables can be modelled simultaneously. While we limit our examplification to continuous gaussian data, the method discussed is quite general and allows continuous ...
Biggeri A., STANGHELLINI, Elena, Ruggeri M.   +2 more
openaire   +4 more sources