Multivariate longitudinal data are common in medical, industrial, and social science research. However, statistical analysis of such data in the current literature is restricted to linear or ...

Multivariate regression analyses of data from a randomised, double-blind, placebo-controlled study confirm quality of life benefit of epoetin alfa in patients receiving non-platinum chemotherapy ...

Statistics are often viewed as confusing and complicated, but multivariate data analysis (MVA) methods can be used to amass knowledge simply. Traditionally, studies are performed and analysed ...

In this paper, we propose a penalised pseudo-partial likelihood method for variable selection with multivariate failure time data with a growing number of regression coefficients. Under certain ...

Once created, the regression formula can be used to predict the value of one variable based on the other. Regression analysis can be extended to more than two variables (multivariate regression), ...

As with ANOVA, even more complex variations of the MANOVA method can be undertaken (Figure 1): One way MANOVA: is the simplest form, comparing the means of three or more groups of data. Two way MANOVA ...

Mona, the maker of an AI monitoring platform, has introduced a new automated exploratory data analysis tool to identify the root cause of anomalies in multivariate datasets. Multivariate data analysis ...

Learn how to build a multivariate linear regression model step by step—no libraries, just pure C++ logic! Deep Learning with Yacine Posted: June 12, 2025 | Last updated: July 10, 2025 ...

Multivariate analysis uses statistical tools such as multiple regression analysis, c. Chron Logo Hearst Newspapers Logo. Skip to main content. Newsletters.