Analysis and characterization of subpopulations of circulating tumor cells in patients with breast cancer.

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 ...

Revised edition of: Multivariate data analysis with readings. 4th ed. c1995. SERCMAI copy 39088009202680 has bookplate: Smithsonian Libraries Adopt-a-Book program. Adopted by David and Erin Hardy on ...

TSD 20: Multivariate meta-analysis of summary data for combining treatment effects on correlated outcomes and evaluating surrogate endpoints (PDF, 1.2MB) – October 2019 – Updated December 2022: ...

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 ...

Indian Institute of Management Visakhapatnam (IIMV) conducted a five-day online certificate programme on “Advanced Multivariate Data Analytics: Moderation and Mediation Analysis using AMOS & Process ...

This course is available on the MSc in Applicable Mathematics, MSc in Data Science, MSc in Econometrics and Mathematical Economics, MSc in Financial Mathematics, MSc in Marketing, MSc in Operations ...