MUVIS

MUVIS performs multivariate statistical analysis and visualization of large-scale biomedical datasets in R (version 3.0 or later).

Key Features:

• Multivariate Analysis: Provides a suite of statistical tools for exploring associations within datasets containing mixed categorical and continuous variables.
• Handling Data Variability: Manages variations arising from technical limitations and addresses selection and information biases to improve robustness of analyses.
• Beyond P-Values: Implements inference approaches that supplement sole reliance on p-values to identify meaningful relationships in large datasets.
• Visualization Capabilities: Generates advanced visualizations to represent complex multivariate relationships.

Scientific Applications:

• Yazd Health Study (YaHS): Applied to the prospective YaHS cohort of over 10,000 participants with more than 30 health measurements and a questionnaire of over 300 questions to corroborate known associations and identify novel connections.

Methodology:

Implemented in R (version 3.0 or later), MUVIS centers on multivariate statistical analysis and unbiased exploration of data associations to handle mixed variable types, manage technical variability, and reduce reliance on p-values.