This interactive 3D visualization displays hazard ratios (HR) comparing surgery vs. non-surgery across three clinical dimensions: age category, tumor size, and HR height. Height of each block represents the hazard ratio (HR). Color gradient (blue → cyan → orange → red) encodes HR magnitude, with warmer colors indicating higher risk. Axes: X-axis: Age categories (<65, 65–75, >75) Y-axis: Tumor size (Small, Medium, Large) Z-axis: Hazard ratio (HR) Data modeled using Cox proportional hazards on SEER cohort; only strata with sufficient sample size and model convergence are shown. This visualization helps clinicians and researchers quickly identify risk patterns across patient subgroups, supporting evidence-based decision-making.

This ANCOVA study reveals faculty rank significantly modifies how political tolerance changes with age, showing full professors become less tolerant with age while junior faculty remain stable.

This study analyzes pulse rate changes before and after physical activity in college students, identifying significant differences between running and sitting groups while examining physiological and lifestyle predictors through stratified regression analysis.

This study identifies key demographic and behavioral factors affecting sleep duration using ATUS data, employing rigorous statistical modeling to reveal significant associations while highlighting the impact of methodological choices on research outcomes.

PCA and logistic regression model classifies Razorback Sucker habitats with 70% accuracy using stable isotopes, aiding conservation efforts.

Quadratic discriminant analysis of fin ray isotopes achieves 87-90% accuracy in classifying hatchery versus wild Razorback Suckers, providing a non-lethal method for conservation monitoring.

Logistic regression analysis of Galapagos Islands data reveals how area and isolation influence endemic plant proportions, with mixed predictive performance across islands.

This project uses PCA to summarize New Mexico county-level poverty and housing data, revealing key patterns and reducing 13 variables to 3 meaningful components

PCA of 25 Thai goblets identifies size as the primary source of variation, with secondary components revealing shape patterns in their morphological design.

Using isotopic clustering to distinguish hatchery-raised from wild Razorback Suckers in the San Juan River for improved fisheries management.