Simultaneous selection of predictors and responses for high dimensional multivariate linear regression

2017 ◽  
Vol 127 ◽  
pp. 173-177 ◽  
Author(s):  
Baiguo An ◽  
Beibei Zhang
Keyword(s):  
Linear Regression ◽  
Multivariate Linear Regression ◽  
High Dimensional ◽  
Simultaneous Selection ◽  
Selection Of

scholarly journals Multivariate linear regression of high-dimensional fMRI data with multiple target variables

2013 ◽  
Vol 35 (5) ◽  
pp. 2163-2177 ◽  
Author(s):  
Giancarlo Valente ◽  
Agustin Lage Castellanos ◽  
Gianluca Vanacore ◽  
Elia Formisano
Keyword(s):  
Linear Regression ◽  
Multivariate Linear Regression ◽  
Fmri Data ◽  
High Dimensional ◽  
Multiple Target

SINGLE-FACTOR LINEAR REGRESSION MODEL OF HODGKIN’S LYMPHOMA IN ADOLESCENTS

2017 ◽  
Vol 63 (2) ◽  
pp. 320-325
Author(s):  
Svetlana Kuleva ◽  
Svetlana Ivanova ◽  
Andrey Karitskiy ◽  
Darya Zvyagintseva
Keyword(s):  
Radiation Therapy ◽  
Linear Regression ◽  
Predictive Factors ◽  
Hodgkin’S Lymphoma ◽  
Risk Group ◽  
Hodgkin's Lymphoma ◽  
Regression Equations ◽  
Single Factor ◽  
Number Of Cycles ◽  
Selection Of

With the use of regression and dispersion analyzes conducted in this study it was possible to identify predictive factors that significantly worsen the prognosis of Hodgkin’s lymphoma in adolescents however constructed regression equations did not pass the quality assessment of the models, which did not allow them to be used for the construction of point and interval predictions. In a cohort of patients enrolled in the study a risk-adapted treatment program based on the risk group for stratification was conducted. Negative aspects of the results of our study could be related to the already selected volume of the program for these patients. In turn our analysis proves the validity of the selection of therapeutic loads (a number of cycles of polychemotherapy, doses of radiation therapy) depending on the risk group, into which the adolescent is stratified.

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