Uncertainty and heterogeneity in network meta-analysis with small subgroups and few studies (C02)

• Subject Area: Epidemiology and Medical Biometry/Statistics ; Clinical Psychiatry, Psychotherapy, Child and Adolescent Psychiatry ; Personality Psychology, Clinical and Medical Psychology, Methodology
• Term: since 2023
• Project identifier: Deutsche Forschungsgemeinschaft (DFG) - Project number 499552394

We will develop a framework to explore subgroup treatment effects and treatment effects conditional on post-randomization characteristics in individual patient data network meta-analysis of small data. This will provide methods to 1) identify patient characteristics with strong predictive properties regarding the outcome of interest 2) estimate treatment effects within the selected subgroups, with a focus on quantifying uncertainty and heterogeneity, and 3) provide recommendations for adding data via new studies.

• DFG Programme: Collaborative Research Centres
• Subproject of: SFB 1597: Small Data
• Applicant Institution: Albert-Ludwigs-Universität Freiburg
• Project Heads: Dr. Adriani Nikolakopoulou; Professorin Dr. Elisabeth Schramm, Ph.D.