Program Overview
This program, introduces fundamental statistical concepts tailored to pharma and clinical research professionals. Designed to simplify statistical jargon and demystify data interpretation, the course blends conceptual understanding with real-world applications. Participants will learn to summarize, analyze, and communicate statistical results effectively through hands-on activities, case studies, and simplified use of software tools like Excel and R. Led by an expert statistician with clinical research experience, this program equips attendees with the confidence to make data-driven decisions in drug development and clinical trials.
Features
- Understand key biostatistical concepts and their relevance in clinical research and drug development.
- Interpret statistical data, including descriptive statistics, probability, and hypothesis testing.
- Apply inferential statistical tools such as t-tests, ANOVA, and regression analysis in real-world scenarios.
- Communicate statistical results effectively using case studies and simplified tools like Excel and R.
Target audiences
- Clinical Research and Trial Operations
- Drug Development and Formulation Teams
- Regulatory Affairs and Compliance
- Medical Writing and Scientific Communication
- Quality Assurance and Quality Control
Curriculum
- 7 Sections
- 29 Lessons
- 1 Day
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- Biostatistics in Clinical Trials5
- Introduction to Biostatistics3
- Descriptive Statistics and Data Summarization5
- 3.1Types of Data: Categorical, Numerical, and Ordinal
- 3.2Measures of Central Tendency: Mean, Median, Mode
- 3.3Measures of Dispersion: Range, Variance, Standard Deviation
- 3.4Data Visualization: Histograms, Bar Charts, Box Plots
- 3.5Practical Activity: Hands-on exercise on summarizing sample clinical trial data.
- Probability Basics in Biostatistics4
- Introduction to Hypothesis Testing4
- Inferential Statistics and Decision Making4
- Regression Analysis in Clinical Research4
Instructor
