Course Description
This course covers multisample inference techniques, focusing on analysis of variance (ANOVA), nonparametric tests, and mixed models. Participants will gain theoretical knowledge and hands-on experience applying these methods in various research fields.
Learning Outcomes
- Understand and apply one-way and two-way ANOVA models.
- Perform hypothesis testing for fixed and random effects models.
- Interpret the Kruskal-Wallis test for nonparametric comparisons.
- Calculate and analyze the intraclass correlation coefficient.
- Utilize mixed models for complex data structures.
- Apply all methods using R for practical data analysis.
Course Structure and Content
| Day |
Topic |
| Day 1 |
Introduction to One-Way ANOVA & Fixed-Effects Model |
| Day 2 |
Hypothesis Testing in One-Way ANOVA & Comparisons of Specific Groups |
| Day 3 |
Case Study: Lead Exposure & Two-Way ANOVA |
| Day 4 |
Kruskal-Wallis Test, Intraclass Correlation & Mixed Models |
| Day 5 |
Practical Applications in R |
Teaching and Learning Strategy
- Lectures with real-world applications.
- Hands-on statistical computing exercises.
- Group discussions and collaborative problem-solving.
- Self-paced learning through additional resources.
Assessment Strategy
- Practical exercises in statistical modeling (30%)
- Conceptual quizzes (20%)
- Final project involving real-world data (50%)
- Participants scoring 70% or above will receive a Certificate of Completion.
Certification and Career Opportunities
Upon completion, participants will receive a digital and printed certificate from GLOBALSTAT INTELLIGENCE SOLUTIONS. This course is valuable for careers in statistical consulting, healthcare analytics, and research methodology.
Contact Information
Email: train@globalstatsol.com
Website: https://www.globalstatsol.com
Enrolling
Click below to enroll in this course.