Logistic Regression, Odds Ratios & Handling Separation of Events
Master survey-weighted logistic regression using real NHANES data and learn how to identify, model, and interpret predictors of MASLD (Metabolic dysfunction-Associated Steatotic Liver Disease). This hands-on workshop focuses on odds ratios, survey-weighted analysis, and one of the most challenging topics in medical research—handling separation of events using Firth's penalised logistic regression.
Unlike traditional statistics courses that focus only on theory, this workshop teaches you how researchers actually build and publish predictor models using NHANES data. Working entirely within the NHANES dataset, participants will learn how to create a MASLD outcome, identify clinically meaningful predictors, perform weighted logistic regression, interpret odds ratios, diagnose separation of events, and apply Firth's correction for reliable publication-quality analyses. The entire workshop is taught through practical coding in R using real NHANES data and publication-ready workflows.
Join two instructor-led live online sessions (4 hours total) where you'll work with the real NHANES dataset to identify predictors of MASLD using R. Learn through practical demonstrations covering NHANES data preparation, survey-weighted logistic regression, odds ratio interpretation, and advanced techniques for diagnosing and handling separation of events.
Get unlimited access to the complete workshop recordings so you can revisit every coding demonstration, statistical concept, and modelling workflow at your convenience. Perfect for reinforcing your understanding and applying the techniques to your own research projects.
Receive a complete set of practical learning resources, including the R installation guide, presentation slides, MASLD outcome coding script, predictor assembly and weighted screening templates, survey-weighted logistic regression scripts, separation-of-events diagnostic checklist, Firth's correction examples, and additional reference materials to support your research.
Earn a verifiable Publish It™ e-certificate after successfully completing the workshop. Showcase your training in NHANES data analysis, survey-weighted logistic regression, odds ratio interpretation, and handling separation of events using R on your CV, academic portfolio, or LinkedIn profile.