Q & A
Statistical Programming & Biostatistics
Q1. What does Statistical Programming and Biostatistics service include?
Statistical programming and Biostatistical Support group offers an inclusive range of analytic services for research, clinical research, or business-related studies with the outcome being that all results are accurate and can subsequently be reproduced and readily used to inform decisions:
1. Study Design & Methodology
Allowing statistically sound methods of design (for experimental, observational, and clinical design with matching to research objectives)
2. Sample Size & Power Analysis
Determine the optimal size for your sample so you can minimize both cost and potential for bias while having enough power to be statistically valid
3. Data Management & Cleaning
Create a high-quality dataset through appropriate validation, coding, transformation and treatment of missing and inconsistent data.
4. Statistical Programming
Perform the statistical analysis on your data by utilizing analytically reproducible and well-documented tools in R, SAS, Python, SPSS or Stata
5. Descriptive & Inferential Statistics
Provide you with summary statistics, hypothesis testing with critical interval, and your comparative statistic methods as a means of confirmation of your research questions
6. Advanced Statistical Modelling
Provide the appropriate use of modelling through the regression, multivariate analysis, survival analysis and predictive models.
7. Biostatistical & Clinical Analysis
Provide clinical trial support, epidemiology studies, bioassays, and real-world evidence that meets all regulatory standards.
8. Reporting, Visualization & Validation
Report your findings back to you via clear tabular representation, visual dashboard and validation testing.
