Early detection and identification of the root cause of process upsets using advanced multivariate analysis (MVA) techniques provides significant economic benefits and cost savings. Today’s ...
Four poor prognostic factors were identified and a simple prognostic index was devised. Information from this analysis can be used to aid clinical decision-making, help individual patient risk ...
No significant financial relationships to disclose. This is an ASCO Meeting Abstract from the 2006 ASCO Annual Meeting. This abstract does not include a full text component.
The role of second-line chemotherapy (CT) is not established in advanced biliary tract cancer (aBTC). We investigated the outcome of aBTC patients treated with second-line CT and devised a prognostic ...
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 ...
Discover how multivariate models use multiple variables for investment forecasting, risk analysis, and decision-making in ...
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 ...
CAMO Software has announced the launch of a new version of its all-in-one multivariate data analysis (MVA) software, the Unscrambler X. The Unscrambler X 10.4 continues CAMO´s tradition of delivering ...
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 ...
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