Multivariate linear regression to predict association of non‐invasive arterial stiffness with cardiovascular events
Sign Up to like & getrecommendations! Published in 2024 at "ESC Heart Failure"
DOI: 10.1002/ehf2.15077
Abstract: Arterial stiffness is a crucial factor in determining an increase in systolic blood pressure and pulse pressure and can also predict the development of cardiovascular disease (CVD). The purpose of this study was to examine… read more here.
Keywords: predict association; linear regression; arterial stiffness; multivariate linear ... See more keywords
Analysis of Longitudinal Lupus Data Using Multivariate t‐Linear Models
Sign Up to like & getrecommendations! Published in 2024 at "Statistics in Medicine"
DOI: 10.1002/sim.10248
Abstract: Analysis of healthcare utilization, such as hospitalization duration and medical costs, is crucial for policymakers and doctors in experimental and epidemiological investigations. Herein, we examine the healthcare utilization data of patients with systemic lupus erythematosus… read more here.
Keywords: multivariate linear; healthcare utilization; covariance matrix; linear models ... See more keywords
Multivariate linear regression analysis on online image study for IoT
Sign Up to like & getrecommendations! Published in 2018 at "Cognitive Systems Research"
DOI: 10.1016/j.cogsys.2018.07.014
Abstract: Abstract To improve the effectiveness of national image study on the “Belt and Road” countries in Central Asia, a national image study method based on the multivariate linear is proposed in this paper. First, the… read more here.
Keywords: multivariate linear; image study; linear regression;
Investigations via Kinetics and Multivariate Linear Regression Models of the Mechanism and Origins of Regioselectivity in a Palladium-Catalyzed Aryne Annulation.
Sign Up to like & getrecommendations! Published in 2024 at "ACS catalysis"
DOI: 10.1021/acscatal.4c04873
Abstract: The synthetic potential of unsymmetrically substituted arynes is not yet fully realized due to regioselectivity issues. Although many models exist to predict the regioselectivity of arynes, these models do not hold for metal-mediated reactions. Previously,… read more here.
Keywords: regioselectivity; catalyzed aryne; aryne annulation; linear regression ... See more keywords
Predictive Multivariate Linear Regression Analysis Guides Successful Catalytic Enantioselective Minisci Reactions of Diazines
Sign Up to like & getrecommendations! Published in 2019 at "Journal of the American Chemical Society"
DOI: 10.1021/jacs.9b11658
Abstract: The Minisci reaction is one of the most direct and versatile methods for forging new carbon–carbon bonds onto basic heteroarenes: a broad subset of compounds ubiquitous in medicinal chemistry. While many Minisci-type reactions result in… read more here.
Keywords: linear regression; multivariate linear; analysis; minisci ... See more keywords
Estimation equations for multivariate linear models with Kronecker structured covariance matrices
Sign Up to like & getrecommendations! Published in 2017 at "Communications in Statistics - Theory and Methods"
DOI: 10.1080/03610926.2016.1165852
Abstract: ABSTRACT The aim of the paper is to determine maximum-likelihood estimation equations. Observations follow a multivariate normal distribution, , where , and describe the unknown covariance structure between rows and columns of , respectively. Imposing… read more here.
Keywords: equations multivariate; multivariate linear; models kronecker; estimation equations ... See more keywords
High-Dimensional Multivariate Linear Regression with Weighted Nuclear Norm Regularization
Sign Up to like & getrecommendations! Published in 2024 at "Journal of Computational and Graphical Statistics"
DOI: 10.1080/10618600.2024.2331020
Abstract: Abstract We consider a low-rank matrix estimation problem when the data is assumed to be generated from the multivariate linear regression model. To induce the low-rank coefficient matrix, we employ the weighted nuclear norm (WNN)… read more here.
Keywords: matrix; nuclear norm; weighted nuclear; linear regression ... See more keywords
Extending multivariate-t linear mixed models for multiple longitudinal data with censored responses and heavy tails
Sign Up to like & getrecommendations! Published in 2018 at "Statistical Methods in Medical Research"
DOI: 10.1177/0962280215620229
Abstract: The analysis of complex longitudinal data is challenging due to several inherent features: (i) more than one series of responses are repeatedly collected on each subject at irregularly occasions over a period of time; (ii)… read more here.
Keywords: longitudinal data; multivariate linear; censored responses; mixed models ... See more keywords
Prediction of dust concentration based on the Boltzmann and multivariate linear model
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DOI: 10.2298/tsci2503951z
Abstract: In order to reduce the dust concentration in the port and ensure that the dust concentration meets the requirements of environmental protection, a combination of Boltzmann model and multiple linear regression model is proposed to… read more here.
Keywords: dust concentration; model; multivariate linear; port ... See more keywords
Exploring the Link between Altitude of Residence and Smoking Patterns in the United States
Sign Up to like & getrecommendations! Published in 2024 at "International Journal of Environmental Research and Public Health"
DOI: 10.3390/ijerph21020226
Abstract: Introduction: Smoking-related diseases affect 16 million Americans, causing approximately 480,000 deaths annually. The prevalence of cigarette smoking varies regionally across the United States, and previous research indicates that regional rates of smoking-related diseases demonstrate a… read more here.
Keywords: united states; altitude; smoking rates; linear regression ... See more keywords
Likelihood Ratio Test in Multivariate Linear Regression: from Low to High Dimension
Sign Up to like & getrecommendations! Published in 2021 at "Statistica Sinica"
DOI: 10.5705/ss.202019.0056
Abstract: Multivariate linear regressions are widely used statistical tools in many applications to model the associations between multiple related responses and a set of predictors. To infer such associations, it is often of interest to test… read more here.
Keywords: multivariate linear; ratio test; lrt; likelihood ratio ... See more keywords