Course

1. Journey of Statistics: Theory to Applications

   • Calculate summary statistics from public health and biomedical data

   • Types of data

2. How to choose the most appropriate statistical method to answer your research question

   • Clinical case studies of various parametric-non parametric tests frequently used in research

3. Judgment

   • Importance study design from statistical point of view

   • Hypothesis

   • Confidence Interval

4. Statistical Significance

   • Interpret written and visual presentations of statistical data

5. Magic Numbers

   • Understanding and importance of sample size with case study

6. Study Design

   • Introduction of various study designs based on objectives of trials

7. Bioequivalence Statistical Analysis

   • Discussion on statistical methods used in 2x2 crossover design

   • Interpretation of bioequivalence statistical results

   • post-hoc power ???

   • How to review failed study data for next pivotal planning

8. Learn with clinical illustrations

9. Information of various analysis tools & their importance from regulatory prospects

Clear concepts of biostatistics will help you:

-for effective planning & design of the study

-to understand statistical parts in data management

-to read, evaluate & discuss study protocols, reports, regulatory query

-in project outsourcing & management

-to read and understand published articles from a statistical point of view

-Learn statistics from clinical trials examples

Instead of ‘teaching statistics’ we deliver ‘concepts behind statistics’.