Statistics Appreciation

The purpose of this course is to provide an introduction of statistics to the clinical trial programming professionals. The participants will get exposed to fundamental concepts in statistics from clinical trial analysis point of view. The sessions are designed keeping in mind that the participants may not have had any formal statistics education. A brief outline of the course is as below:

Statistics in clinical Trials
Descriptive statistics
Analyzing multiple endpoints
Statistical inference
Handling the challenges in statistical analysis

The course is designed and delivered by Dr. Vidya Prayag, a veteran with an extensive academic and professional experience in statistics.
  • Prologue
  • Introduction to the Faculty
  • Course Overview
  • Statistics in Clinical Trials
  • Role of Statistics in Clinical Trials
  • Data Exploration
  • Descriptive Statistics
  • Measures of Central Tendency
  • First Assessment
  • Statistics Assessment 1- Measures of Central Tendency
  • Measures of Dispersion
  • Statistics Assessment 2- Measures of Dispersion
  • Modeling Data Distributions
  • Analyzing Multiple Endpoints
  • Correlation
  • Statistics Assessment 3- Correlation
  • Simple Regression Analysis
  • Multiple Regression Analysis
  • Statistics Assessment 4- Regression
  • Statistical Inference
  • Estimation of Parameters
  • Statistics Assessment 5- Estimation of parameters
  • Testing of Hypothesis-I(a)
  • Testing of Hypothesis-I(b)
  • SIXTH Assessment
  • Statistics Assessment 6- Hypothesis Testing I
  • Testing of Hypothesis-II
  • Seventh Assessment
  • Statistics Assessment 7- ANOVA
  • Handling the Challenges in Statistical Analysis
  • Final Assessment
  • Statistics Appreciation - Course Assessment
Completion rules
  • All units must be completed
  • Leads to a certification with a duration: until 14 October