🔬📈 Second Workshop on Causal Inference in Infectious Disease Epidemiology
The Infectious Disease Epidemiology Working G...
🔬📈 Second Workshop on Causal Inference in Infectious Disease Epidemiology
The Infectious Disease Epidemiology Working Group and the Cross-Sectional Initiative on Causal Inference invite researchers to an in-person, two-day workshop from 22–23 January 2026 at the Bernhard Nocht Institute for Tropical Medicine (BNITM), Hamburg.
Building on the successful 2024 edition, this hands-on workshop will deepen participants’ skills in causal inference methods for observational health data. The programme will introduce the three g-methods — parametric g-formula, marginal structural models (MSMs) with IPTW, and structural nested models — with practical exercises and data analysis in R.
Participants will also collaborate on designing a target trial protocol for complex infectious disease research questions (e.g., HPV vaccination, HIV treatment), and can benefit from office hours to discuss their own study designs and analytical challenges.
👩🏫 Lecturers: Uwe Siebert & Lára Hallsson (UMIT TIROL, Austria) 💻 Prerequisites: Basic CI knowledge / participation in the first workshop recommended 🕙 Optional recap session on DAGs: 22.01.2026, 10:00–12:00 💰 Free of charge | Sponsored by DGEpi & gmds 📝 Registration deadline: 17 December 2025
A great opportunity to expand CI skills, connect with peers, and strengthen study design in infectious disease epidemiology! 🌍📊
🔬📈 Second Workshop on Causal Inference in Infectious Disease Epidemiology
The Infectious Disease Epidemiology Working Group and the Cross-Sectional Initiative on Causal Inference invite researchers to an in-person, two-day workshop from 22–23 January 2026 at the Bernhard Nocht Institute for Trop...
🔬📈 Second Workshop on Causal Inference in Infectious Disease Epidemiology
The Infectious Disease Epidemiology Working Group and the Cross-Sectional Initiative on Causal Inference invite researchers to an in-person, two-day workshop from 22–23 January 2026 at the Bernhard Nocht Institute for Tropical Medicine (BNITM), Hamburg.
Building on the successful 2024 edition, this hands-on workshop will deepen participants’ skills in causal inference methods for observational health data. The programme will introduce the three g-methods — parametric g-formula, marginal structural models (MSMs) with IPTW, and structural nested models — with practical exercises and data analysis in R.
Participants will also collaborate on designing a target trial protocol for complex infectious disease research questions (e.g., HPV vaccination, HIV treatment), and can benefit from office hours to discuss their own study designs and analytical challenges.
👩🏫 Lecturers: Uwe Siebert & Lára Hallsson (UMIT TIROL, Austria) 💻 Prerequisites: Basic CI knowledge / participation in the first workshop recommended 🕙 Optional recap session on DAGs: 22.01.2026, 10:00–12:00 💰 Free of charge | Sponsored by DGEpi & gmds 📝 Registration deadline: 17 December 2025
A great opportunity to expand CI skills, connect with peers, and strengthen study design in infectious disease epidemiology! 🌍📊
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