Ever felt like your statistics knowledge falls short when tackling real problems? Uncertain where to begin with your analysis? Struggling to choose the right models for your statistical plan? Confused by concepts like confounding factors? Dealing with intervention studies involving repeated measurements without a clear strategy? Feeling overwhelmed by numerous variables? Eager to dive into statistical programming or coding? Welcome to our course, designed to address these challenges and equip you for confident statistical problem-solving!
Enroll in this course to gain extensive expertise in data organization, multivariable regressions, logistic regression, longitudinal analysis, and multivariate models, all taught within the framework of the R program. This course combines theoretical lectures using a flipped classroom approach with hands-on labs focusing on data processing and practical application. It fosters teacher-student interactions, providing a platform to address the challenges encountered in your projects. By exploring statistical models in epidemiological studies, this course cultivates critical thinking and enhances your abilities in data organization and program-based analysis
This course requests a foundational understanding of statistics, including concepts like correlation and univariate linear regression. It is tailored for beginners in academia seeking to cultivate quantitative research skills, and provides a solid foundation for developing statistical expertise.