<p>Partial Least Squares is used to create a linear regression model to accurately discriminate between sarcoidosis and tuberculosis sera.</p
<p>While latent variable LV1 is able to discriminate between days 0/1 and days 4/5 of differentiatio...
<p>General estimating equation included to adjust for values clustered by participant. P values adju...
<p>Dots represent individual estimates. Solid line is made to linear best fit model.</p
<p>Partial least squares regression results for <i>Plasmodium</i> prevalence and richness.</p
AbstractPLS initially creates uncorrelated latent variables which are linear combinations of the ori...
<p>Partial regression coefficients for logistic regression model for LTS against clinical and demogr...
Linear regression models testing how DNA quantity and purity varied by tissue.</p
<p>Partial least squares regression biplot (axes 1 and 2) showing differences in the proportional up...
<p>Partial Least Squares-Discriminant Analysis (PLS-DA) score plot and loadings S plot for (A,B) SER...
Development and application of statistical models for medical scientific researc
Ordinary least square regression results with adjusted hemoglobin as dependent variable.</p
<p>Univariate association of serum troponins with baseline characteristics using linear regression.<...
Multivariate linear regression analyses with circulating lipopolysaccharide-binding protein as the d...
<p>Multivariate linear regression analysis of the relation of serum ferritin level to other characte...
A common problem in applied regression analysis is to select the variables that enter a linear regre...
<p>While latent variable LV1 is able to discriminate between days 0/1 and days 4/5 of differentiatio...
<p>General estimating equation included to adjust for values clustered by participant. P values adju...
<p>Dots represent individual estimates. Solid line is made to linear best fit model.</p
<p>Partial least squares regression results for <i>Plasmodium</i> prevalence and richness.</p
AbstractPLS initially creates uncorrelated latent variables which are linear combinations of the ori...
<p>Partial regression coefficients for logistic regression model for LTS against clinical and demogr...
Linear regression models testing how DNA quantity and purity varied by tissue.</p
<p>Partial least squares regression biplot (axes 1 and 2) showing differences in the proportional up...
<p>Partial Least Squares-Discriminant Analysis (PLS-DA) score plot and loadings S plot for (A,B) SER...
Development and application of statistical models for medical scientific researc
Ordinary least square regression results with adjusted hemoglobin as dependent variable.</p
<p>Univariate association of serum troponins with baseline characteristics using linear regression.<...
Multivariate linear regression analyses with circulating lipopolysaccharide-binding protein as the d...
<p>Multivariate linear regression analysis of the relation of serum ferritin level to other characte...
A common problem in applied regression analysis is to select the variables that enter a linear regre...
<p>While latent variable LV1 is able to discriminate between days 0/1 and days 4/5 of differentiatio...
<p>General estimating equation included to adjust for values clustered by participant. P values adju...
<p>Dots represent individual estimates. Solid line is made to linear best fit model.</p