Cohort Studies Masterclass: From First Principles to Advanced Causal Inference

Stop memorizing formulas. Start mastering the science.

​Does Epidemiology feel like a maze of confusing definitions and complex calculations? Are you struggling to bridge the gap between basic textbooks and the high-level analysis required for medical residency or MPH exams?

​You don’t need more notes. You need a Masterpiece.

​Written by Dr. Oussama Wael Bouhentala—Head of Prevention Services and a specialist in Epidemiology—this document is not just a lecture; it is a comprehensive roadmap to mastering one of the most critical study designs in public health

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​Why this is the only Cohort Study guide you’ll ever need:

​Elite Scientific Clarity: Move beyond the basics. We dive deep into Directed Acyclic Graphs (DAGs), Time-Varying Confounding, and Causal Inference—topics usually reserved for advanced PhD seminars, explained with clinical precision.

​Zero-Error Mathematical Accuracy: Every formula and exercise has been manually verified. Master Relative Risk (RR), Attributable Risk (AR), and 95% Confidence Intervals with step-by-step solutions that actually make sense.

​The "Exam-Ready" Edge: We don't just teach the material; we teach you how to pass. Includes "Exam Traps" and "Clinical Pearls" that highlight the common mistakes students make in competitive medical exams.

​Real-World Application: Learn how to spot Immortal Time Bias and Selection Bias in actual research, making you a sharper clinician and a better researcher.

​What’s Inside the PDF?

​Comprehensive Theory: From PICO formulation to Ambidirectional Cohort designs.

​Advanced Methodologies: Sensitivity Analysis (E-values) and Marginal Structural Models.

​The Workbook Section: Verified mathematical exercises with full, annotated solutions.

​Critical Appraisal Checklist: A structured guide to evaluating the quality of any published cohort study.

​Perfect for:

​Medical Students looking for a competitive edge in Public Health modules.

​MPH & PhD Students struggling with advanced causal inference and biostatistics.

​Epidemiology Residents preparing for board exams or professional practice.

​Health Professionals who want to read scientific literature with a critical, expert eye.