Quantitative Research

A set of comprehensive statistical and mathematical techniques used to focus on Health Sciences. Consultants apply our existing techniques and generate their own theories and methodologies which they publish in more than 24 top-level journals in more than 8 countries.

  • Epidemiological Studies
  • Design of quantitative studies (Surveys, Samplings, Experimental)
  • Diagnostic tests
  • Artificial Intelligence
  • Longitudinal data analysis
  • Meta-Analysis
  • Clinical trials analysis
  • Risk analysis
  • Statistics for Evidence-Based Medicine (EBM)
  • Survival Analysis
  • Generalized Linear Models
  • Multivariate Techniques (Factor Analysis, Principal Components, Manova)
  • Statistical Software Training:
    • R (programming language)
    • NONMEM (Non-linear mixed effects Modelling)
    • Minitab
    • SAS (Statistical Analysis System)
    • SPSS (Statistical Package for the Social Sciences)
    • EPI INFO (WHO & CDC statistical software)
    • WinNonlin (PK/PD Modeling and analysis Pharmacokinetics/Pharmacodynamics)
    • S.A.G.E. (Statistical Analysis for Genetic Epidemiology)
    • Etc.