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Learn to analyze medical data using R programming through a comprehensive course covering essential topics from basic R syntax to advanced statistical methods. Master data structures, manipulation with base R and dplyr packages, and create compelling visualizations using base graphics and ggplot2. Explore fundamental statistical analyses including descriptive statistics, contingency tables, and hypothesis testing. Dive into regression techniques like linear, logistic, and Poisson regression, followed by survival analysis, clustering methods, and discriminant analysis. Gain practical skills in principal component analysis, factor analysis, clinical diagnostic test evaluation, and meta-analysis. Through hands-on exercises and real medical data examples, develop proficiency in implementing statistical methods crucial for medical research and clinical decision-making.
