Customer perceptions of your company's brand are complex and difficult to predict because of the variety of factors involved. Multivariate analysis uses statistical tools such as multiple regression ...

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 ...

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 ...

Evolution of bosutinib (BOS) toxicity in patients (pts) with Ph+ leukemia after resistance/intolerance to prior therapy. This is an ASCO Meeting Abstract from the 2013 ASCO Annual Meeting I. This ...

The goal of this talk is to familiarize those in attendance with some common multivariate methods, such as principal component analysis, factor analysis, Hotelling’s T 2, etc. We’ll try to motivate ...

A generalization of correspondence analysis to multivariate categorical data is proposed, where all two-way contingency tables of a set of categorical variables are simultaneously fitted by weighted ...

A higher dose of anti-T-lymphocyte globulin (ATLG) significantly outperformed a lower dose in preventing graft-vs-host disease (GVHD) in patients receiving matched –sibling donor (MSD) peripheral ...

Incidence of colorectal premalignant and malignant neoplasm on colonoscopy in an in-patient setting. Bevacizumab (Bev) with or without erlotinib as maintenance therapy, following induction first-line ...