In nonparametric multivariate regression analysis, we seek methods to reduce the dimensionality of the regression function to bypass the difficulty caused by the curse of dimensionality. The original ...

Combination of everolimus with R-CHOP (ever R-CHOP) as an initial therapy for diffuse large B-cell lymphoma (DLBCL): A phase I and feasibility study (NCCTG N1085 [Alliance]). Multivariate analyses of ...

Multivariate analysis is commonly used when we have more than one outcome variables for each observation. For instance, a survey of American adults’ physical and mental health might measure each ...

Multivariate analysis in statistics is a set of useful methods for analyzing data when there are more than one variables under consideration. Multivariate analysis techniques may be used for several ...

Discover how multivariate models use multiple variables for investment forecasting, risk analysis, and decision-making in finance. Ideal for portfolio management.

Cell proliferation-related markers in colorectal liver metastases: correlation with patient prognosis. We analyzed 2,536 cases of surgically resected gastric adenocarcinoma of all pathologic stages.

In semiconductor manufacturing, especially in electrical test data, but also in other parameters, there are often sets of parameters that are very highly correlated. Even a change in the correlation ...

This course is available on the Global MSc in Management, Global MSc in Management (CEMS MIM), Global MSc in Management (MBA Exchange), MSc in Applied Social Data Science, MSc in European and ...