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 ...

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 ...

The immune characteristic analysis of BAP1 mutated clear cell renal cell carcinoma. This is an ASCO Meeting Abstract from the 2024 ASCO Genitourinary Cancers Symposium. This abstract does not include ...

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 ...

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 ...

Investigators evaluated dual immune checkpoint inhibitors for safety and efficacy in patients with brain metastases from rare cancers.

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 ...