Biostatistical Methods I: Linear Regression and ANOVA

This fully online, asynchronous course provides a comprehensive introduction to linear regression and analysis of variance (ANOVA), equipping learners with essential skills for statistical modeling and data analysis in biomedical and scientific fields.

Course Highlights:

• Core Statistical Techniques: Master simple and multiple linear regression to predict outcomes and ANOVA to compare group differences, with practical applications in clinical research, public health, and beyond.
• Data Transformation Skills: Learn to apply logarithmic transformations to address non-normality and stabilize variance, using diagnostic tools like residual plots and Q-Q plots.
• R Programming Proficiency: Gain hands-on experience with R for data analysis, building and evaluating models without requiring prior coding knowledge.
• Flexible Learning: Access course materials at your convenience during the session, ideal for balancing professional or academic commitments.

• Students seeking a linear regression course or ANOVA training to support academic goals.
• Professionals aiming to enhance statistical analysis skills for research or industry roles.
• Individuals interested in biostatistics or data analytics with applications in healthcare and science.

• Course Materials: A course reader is provided with each module, accessible to students at no additional cost. Instructions for accessing these materials are shared on the first day.
• Prerequisites: No prior experience with R or advanced statistics is required.
• Next Steps: Continue your learning with Biostatistical Methods II: Logistic Regression and Survival Analysis to explore advanced topics such as logistic regression and survival analysis.