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 ...

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 ...

Please provide your email address to receive an email when new articles are posted on . Predictors of colorectal cancer at surveillance colonoscopy included age, smoking status, adenoma detection rate ...

In the study, authors investigated the natural history of GA lesion incidence rates and analyzed potential risk factors for faster incidence of GA lesions.

Analyses were completed within the Population-based Research to Optimize the Screening Process Lung Consortium (PROSPR-Lung). In our primary validity analyses, the reference standard LCS eligibility ...

In randomized placebo-controlled preventive HIV vaccine efficacy trials, an objective is to evaluate the relationship between vaccine efficacy to prevent infection and genetic distances of the ...

A large primary care analysis shows prostate cancer screening remains underused and inequitable, with notable gaps for ...

This is a preview. Log in through your library . Abstract Data from a national survey of veterans are analyzed to determine how age, income, health insurance and service-connected disability influence ...

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 ...

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 ...