The 7th RUHR School of Modern Epidemiology will take place from July 7–10, 2026 at the Haus der Technik in Essen. This y...
The 7th RUHR School of Modern Epidemiology will take place from July 7–10, 2026 at the Haus der Technik in Essen. This year’s theme, “Applied Epidemiologic Analysis for Causal Inference,” focuses on strengthening both the theoretical foundations and practical application of causal methods in empirical research 📊.
The course will be led by Katherine Lesko (Johns Hopkins University), a renowned expert in causal inference known for her outstanding teaching and ability to translate complex methodology into hands-on analytical practice.
Over four intensive days, participants will explore key concepts such as causal identification conditions, potential outcomes, structural causal models (including DAGs), the target trial framework, estimands, target population principles, and g-methods. The program combines theory with practical “paper and pencil” exercises and hands-on computer labs using R or SAS 💻✏️. The goal is to equip attendees with the skills to confidently apply causal inference methods in their own studies.
The RUHR School is particularly relevant for professionals and researchers in clinical and epidemiological research, medical data science, and machine learning who aim to draw robust causal conclusions from empirical data 🔬.
Registration is open until June 2, 2026. Further details on course content and enrollment are available via the official RUHR School website.
The 7th RUHR School of Modern Epidemiology will take place from July 7–10, 2026 at the Haus der Technik in Essen. This year’s theme, “Applied Epidemiologic Analysis for Causal Inference,” focuses on strengthening both the theoretical foundations and practical application of causal methods in empi...
The 7th RUHR School of Modern Epidemiology will take place from July 7–10, 2026 at the Haus der Technik in Essen. This year’s theme, “Applied Epidemiologic Analysis for Causal Inference,” focuses on strengthening both the theoretical foundations and practical application of causal methods in empirical research 📊.
The course will be led by Katherine Lesko (Johns Hopkins University), a renowned expert in causal inference known for her outstanding teaching and ability to translate complex methodology into hands-on analytical practice.
Over four intensive days, participants will explore key concepts such as causal identification conditions, potential outcomes, structural causal models (including DAGs), the target trial framework, estimands, target population principles, and g-methods. The program combines theory with practical “paper and pencil” exercises and hands-on computer labs using R or SAS 💻✏️. The goal is to equip attendees with the skills to confidently apply causal inference methods in their own studies.
The RUHR School is particularly relevant for professionals and researchers in clinical and epidemiological research, medical data science, and machine learning who aim to draw robust causal conclusions from empirical data 🔬.
Registration is open until June 2, 2026. Further details on course content and enrollment are available via the official RUHR School website.
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