1. Regular Data Backups and Progress Tracking
We maintain version-controlled backups and transparent progress documentation to ensure research integrity, reproducibility, and data security throughout the consulting process.

2. REDCap Survey Creation
Design, implement, and manage secure REDCap surveys and databases—customized for clinical, psychological, or population-based studies, including branching logic, calculated fields, and validation rules.

3. Complex Variable & Field Calculations
Develop derived variables, computed scales, and complex data transformations using reproducible R-based workflows for advanced statistical modeling and reporting.

4. Data Cleaning and Validation
Perform rigorous data quality checks, missing-data evaluation, outlier detection, and consistency validation to ensure datasets are analysis-ready and publication-compliant.

5. Data Visualization
Create publication-quality charts, dashboards, and interactive visualizations in R, Tableau, or Shiny to communicate findings clearly and effectively.

6. Statistical Analysis
Conduct descriptive and inferential analyses using a wide range of methods, including linear and generalized linear models, mixed-effects models, survival analysis, ANOVA/MANOVA, and nonparametric methods.

7. Statistical Simulation
Design and execute simulation studies to evaluate statistical power, assess methodological robustness, and explore model performance under varying conditions.

8. Machine Learning and Deep Learning
Develop predictive models using supervised and unsupervised learning, neural networks (Keras/TensorFlow in R), and advanced algorithms for pattern detection and forecasting.