About MultiReg module
Background
Quantitative pharmacology analyses are represented by a wide range of mathematical methods, closely tied to the source data being analyzed. Among the most common data types we can distinguish time-to-event (TTE) data (e.g., overall survival data), as well as nominal data, which can be either binary (e.g., response to therapy, occurrence of adverse events), multinomial (e.g., tumor response by RECIST) or ordinal (e.g., severity of adverse events), and count data (e.g., frequency of certain adverse event). Implementation of associated mathematical methods in a user-friendly GUI is critical for performing efficient and timely model-based analyses.
Objectives
- Extend Simurg syntax to support various types of regression modeling.
- Provide functionality for model development, diagnostics, covariate search.
- Allow to apply joint modeling techniques.