HKUST Staff vs Eikos

HKUST Staff is an Apps to help Back Office Staff to improve the administration work more efficiently. It gives you mobile access to some administrative functions (e.g. Expense receipt upload etc.) and easy link reference to other useful Apps for UST staff members.

Eikos is a comprehensive statistical computing, data science, and research platform engineered for iOS, iPadOS, and macOS. It functions 100% offline and maintains your datasets under your exclusive sovereignty. Unlike simplistic calculators or static summaries, Eikos features a proprietary mathematical engine rigorously validated across 50,000+ test assertions against R Core and Python (SciPy/Statsmodels). VERIFIED STATISTICAL ENGINE • High-precision numerical computing matching standard scientific benchmarks. • 51 complete statistical procedures: descriptive statistics, hypothesis testing (Student's t, ANOVA, Mann-Whitney, Wilcoxon, Chi-Square, Fisher's exact). • Biostatistics & Survival Analysis: Kaplan-Meier estimation, Cox Proportional Hazards, Aalen-Johansen multi-state transitions, and Gray's competing risks. • Econometrics & Time Series: ARIMA modeling, GARCH(1,1) volatility, and hierarchical reconciliation. • Causal Inference & Epidemiology: Instrumental Variables (2SLS, Anderson-Rubin), Difference-in-Differences (DiD), Synthetic Control, and Causal Forests. NATIVE IMPORT & REPRODUCIBLE CODE • Direct parsing and analysis of native data formats: CSV, TSV, Microsoft Excel (.xlsx), R (.rds), Stata (.dta), SPSS (.sav), and structured JSON. • Instant generation of reproducible R and Python scripts for every analysis conducted. • Publication-ready report exports: APA / Vancouver / Table 1 formatting with LaTeX mathematical typesetting. INTEGRATED IDE & LEARNING ENVIRONMENT • 537 comprehensive guides organized across 8 disciplines. • Interactive Notebook with complete analysis history and methodology tracking. • Command console and local SQL engine for fast querying and table manipulation. • Formative challenge bank with adaptive scoring powered by Item Response Theory (IRT). Designed for researchers, biostatisticians, epidemiologists, university faculty, and students who require uncompromised mathematical accuracy and data privacy.