Statistical Consulting


In the era of big data, high-quality data processing and statistical analysis play an increasingly important role in scientific research. From the initial experimental design, the process control to the final data analysis, our professional services allow you to maximize the use of existing data resources and to avoid the waste of funds and effort.
  • Research Design
    • Study design and planning
    • Preparation of grant and contract proposals
      • Formulation of testable hypothesis
      • Experimental design
      • Power/Sample size calculation
      • Randomization
      • Blocking procedures
      • Writing analytical sections
      • Revisions for resubmission
  • Statistics
    • Statistical analysis
    • Identification of appropriate analytical tests for each study
    • T test, ANOVA, Regression, Correlation, Chi-square, Bland-Altman, McNemar’s test, Non-parametric tests, Logistic analysis, Survival analysis, etc. are examples of techniques that may be employed
    • Analytical software: SAS, SPSS, STATA, MINITAB, etc.
    • Interpretation of analytical results
    • Report/Manuscript preparation
      • Description of statistical methods
      • Summarization and interpretation of statistical results
      • Assessment of conclusions for consistency with analysis
      • Pre-submission edits
      • Address reviewer questions
      • Revisions for resubmission
    • Lectures and workshops on biostatistical methodology
  • Data Management
    • Database development, design, setup, configuration, troubleshooting
    • Codebook preparation
    • Database conversion
    • Database merging, editing, and monitoring
    • Database quality assurance
    • Database query
    • Preparation of periodic summary statistics