Overview
For researchers who already publish and want methodological depth: adaptive designs, causal inference, and pragmatic trials applied to medical and paramedical questions.
Learning objectives
Select the right design for the research question
Apply causal inference thinking to observational data
Handle confounding, bias and missing data
Plan sample size and power for complex designs
Syllabus
Design landscape
Observational vs interventional · Adaptive & pragmatic trialsCausal inference
DAGs · Propensity scores · Instrumental variablesData integrity
Missingness mechanisms · Multiple imputation · Sensitivity analysis
INSTRUCTOR
Dr. Muhammed Elhadi
Doctor, Researcher — Faculty of Medicine, University of Tripoli
Reviewer at over 40 international peer-review journals
Editor at PLOS ONE, BMC Public Health and BMC Medical Education
Contributed to more than 50 international research projects
70+ publications in peer-reviewed journals with high impact factors
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