Advanced Statistical Analysis and Biostatistics
This course offers a comprehensive exploration of advanced statistical methods and their applications in biostatistics. It covers data analysis, correlation and regression, statistical modeling, sampling techniques, quality control, and safety assessment in clinical trials and medical interventions. Students will gain practical skills and insights for rigorous data-driven decision-making in healthcare and research.
Module 1 : Statistical Methods and Data Analysis
- Introduction to Statistics
- Data Summary Techniques
- Normal Distribution
- Variance and Polygenic Traits
- Weibull Distribution
- Ordinal Data
- Checking Normality
- P-Value and Hypothesis Testing
- Case Studies and Minitab Output
- Reporting Results
Module 3 : Correlation, Regression, and Statistical Testing
- Linear vs. Non-Linear Models
- Handling Counts
- Michaelis-Menten Model
- Regression and Causation
- Meta-Analysis and MAGIC
- Sampling Techniques
- Sampling Design
- Random Sampling
- Sample Size Determination
- Quality Control and Inspection
Module 2 : Correlation, Regression, and Statistical Testing
- Introduction to Correlation and Regression
- Correlation Basics
- Regression Techniques
- Assessing Regression Models
- Comparing Formulations
- Hypothesis Testing
- Types of Ratio
- Statistical Tests
- Significance Testing
- Practical Application
Module 4 : Biostatistical Safety Assessment
- Clinical Trials and Herbal Interventions
- Homeopathic Interventions
- Drug Safety Assessment
- Comparing Drug Safety
- Doctor’s Perspective
- Essential Tools
- Teasers and Practical Insights
Duration : 4hrs / week ( 2 days/week )
Schedule : Session of 2 hours twice a week
Batches Starting From
August 2024
Enroll Now For Early Bird Offers
Duration : 4hrs / week ( 2 days/week )
Schedule : Session of 2 hours twice a week
Perks Of Offline Course
Role Play
Get to work on live projects
Face-to-face guidance by PM (Project Manager)
Clinical on-site exposure