TrialLytics

Context

Clinical and efficacy trial data analysis is often fragmented: statisticians run scripts in isolation, researchers struggle to interpret outputs, and results are difficult to reproduce across projects. There was a clear need for a unified platform that could bring advanced statistical methods into an accessible, interactive environment without sacrificing scientific rigor.

Approach

TrialLytics was built to serve two audiences simultaneously: the statistician who needs full methodological control, and the clinical researcher who needs to explore results without writing code. The platform centralizes the most commonly used methods in efficacy trials into a single, configurable interface.

• Designed a modular Shiny architecture allowing independent analysis modules to share a common data layer
• Implemented hazard ratio outputs for Cox models with confidence intervals, following standard regulatory interpretation practices
• Integrated advanced missing data handling strategies to ensure robustness across real-world datasets
• Containerized the full application with Docker for reproducible deployment across environments

Solution

TrialLytics is an interactive web application that covers the full statistical workflow of a clinical or cosmetic efficacy trial. From data upload to formatted outputs, researchers can run analyses, interpret results, and export reports directly from the platform.

The platform supports mixed-effects models for longitudinal and repeated-measures data, Cox regression with hazard ratio interpretation, ANOVA and linear models for multi-group comparisons, and survival analysis with Kaplan-Meier curves. All visualizations are powered by Plotly, enabling interactive exploration of results.

Applications

TrialLytics is applicable across several R&D contexts:

• Cosmetic efficacy testing — evaluate product performance with mixed models accounting for repeated measures and individual variability
• Clinical trials — time-to-event analysis with Cox regression and regulatory-grade hazard ratio outputs
• Pharmaceutical research — robust statistical validation for drug trials with full reproducibility