Explore the application of simple regression methods in public health with a comprehensive focus on biostatistics. This course provides in-depth coverage of topics such as logistic regression, confidence intervals, p-values, Cox regression, confounding, adjustment, and effect modification.
Through practical examples and real data analysis, you'll gain proficiency in recognizing confounding in statistical analysis, performing estimate adjustments, and understanding the relationship between outcomes and predictors. The course emphasizes the interpretation and application of simple regression methods, empowering learners to make informed decisions based on statistical reasoning and evidence.
Certificate Available ✔
Get Started / More Info
This course covers simple regression methods, logistic regression, Cox proportional hazards regression, and the concepts of confounding, adjustment, and effect modification. Gain practical skills and understanding through real data analysis.
Module 1 introduces simple regression methods, providing an overview and practical examples on interpreting data and estimating the regression equation. You'll delve into measuring the strength of a linear association and gain proficiency through practice quizzes and real data analysis.
Module 2 focuses on simple logistic regression, covering the application with binary/categorical predictors, estimating risk, and practical examples. Through this module, you'll gain insights into accounting for uncertainty in the estimates and interpreting logistic regression results.
Module 3 delves into simple Cox proportional hazards regression, emphasizing the estimation of survival curves from Cox regression results. Practical examples and quizzes enhance understanding, enabling learners to apply these methods to real-world data.
Module 4 explores the concepts of confounding, adjustment, and effect modification, providing formal definitions, examples, and practical applications. Gain proficiency in recognizing and assessing confounding, adjustment, and effect modification through real-life examples and quizzes.
Module 5 offers a course project, allowing learners to apply the knowledge and skills acquired throughout the course to real data analysis and interpretation. This practical component enhances understanding and application of simple regression methods in public health.
Quality Improvement in Healthcare focuses on understanding and applying quality improvement methods in healthcare settings, integrating theory and practice with...
This Teach-Out offers a comprehensive exploration of Extreme Risk Protection Orders (ERPOs) as a civil approach to preventing gun violence. Join experts to understand...
Instructional Methods in Health Professions Education provides an interdisciplinary approach to improving teaching skills for health professionals, focusing on educational...
Healthy Urban Systems Part 2 delves into theories, models, and tools for understanding and modeling urban health. This 4-week course explores complexity theories,...