Fuanyi Awatboh Department of Clinical Research Profiles & Affiliations OverviewResearch Publications Publications by Type Projects & Collaborations Academic Activities Academic Self-Administration Continuing Education Junior Development, Doctorate and Advanced Studies Academic Reputation & Networking Teaching Bachelor/Master Projects & Collaborations OverviewResearch Publications Publications by Type Projects & Collaborations Academic Activities Academic Self-Administration Continuing Education Junior Development, Doctorate and Advanced Studies Academic Reputation & Networking Teaching Bachelor/Master Profiles & Affiliations Projects & Collaborations 1 foundShow per page10 10 20 50 Towards an efficient use of available data in clinical research: Development, validation, and implementation of innovative statistical approaches in causal inference Research Project | 4 Project MembersThis project develops and enhances G-methods to improve causal inference in clinical research by combining longitudinal data with advanced statistical techniques, addressing time-varying treatments, confounders, and spatial correlations. 1 1 OverviewResearch Publications Publications by Type Projects & Collaborations Academic Activities Academic Self-Administration Continuing Education Junior Development, Doctorate and Advanced Studies Academic Reputation & Networking Teaching Bachelor/Master
Projects & Collaborations 1 foundShow per page10 10 20 50 Towards an efficient use of available data in clinical research: Development, validation, and implementation of innovative statistical approaches in causal inference Research Project | 4 Project MembersThis project develops and enhances G-methods to improve causal inference in clinical research by combining longitudinal data with advanced statistical techniques, addressing time-varying treatments, confounders, and spatial correlations. 1 1
Towards an efficient use of available data in clinical research: Development, validation, and implementation of innovative statistical approaches in causal inference Research Project | 4 Project MembersThis project develops and enhances G-methods to improve causal inference in clinical research by combining longitudinal data with advanced statistical techniques, addressing time-varying treatments, confounders, and spatial correlations.
