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Modular course building on Quantitative Methods I. Required module provides common understanding of regression including linear, logistic, and general linear regression, use and interpretation of dichotomous and continuous variables, indicator terms, and interaction terms, and regression diagnostics.
Both SVM and logistic regression use linear decision boundaries, but unlike the logistic regression, not all instances affect building classifier function in the SVM.
According to multivariate linear regression, use of clofazimine was significantly associated (p<0.05) with more adverse events but was not associated with death during treatment.
In a multivariable logistic regression use of SRQ score as a continuous exposure variable did not altered our finding of no association between CMD and infant undernutrition.
Similar to SPCA, partial least squares and latent root regression use information in the response variable to construct latent variables (linear combinations of the predictor variables) to be used as predictors.
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Km and vmax were calculated on basis of non-linear regression using Sigma Plot™ 11.0.
A best fit line was obtained by linear regression using a weighting of 1/x2.
The pIC50 values were calculated and fitted with nonlinear regression using 4-parameters with GraphPad Prism (version 5.0 for windows).
Determination of acrophase in clock gene expression (Fig. 3) was performed by harmonic regression using CircWave v1.4 software70.
Individual heterogeneity in the returns to schooling: Instrumental variables quantile regression using twins data.
"High dimensional linear regression using lattice basis reduction". Ilias Zadik and David Gamarnik.
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