Experimental Epidemiology One Shot: RCT, Bias & Confounding | Association vs Causation | PSM

"Master Experimental Epidemiology including Randomized Control Trials (RCT), Bias (Selection & Information), and Confounding in this complete PSM lecture. Dr. Priyanka Sachdev explains Bradford Hill Criteria and methods to eliminate Bias for MBBS 3rd Year & NEET PG." Struggling to remember bias, confounding, and experimental study design for 3rd Prof? In this video I’ll break them down with exam-smart examples and quick mnemonics so you can answer MCQs with confidence. ✅ What you’ll learn: ✅ What experimental epidemiology is (RCT vs quasi-experimental) ✅ Types of bias (selection, information, performance, detection) with exam examples ✅ What confounding is and how to identify it (criteria + causal diagram tip) ✅ Methods to control confounding (randomization, restriction, matching, stratification, multivariable analysis) ✅ How to critically appraise an RCT for bias & confounding (step-by-step checklist) ✅ High-yield mnemonics & 3 rapid MCQ practice questions This video is a free demo of the full 3rd Prof Buster 1.0 series on the MedLive app. Want the complete 3rd Prof Buster course (detailed lectures, downloadable notes, MCQ banks, and live doubt sessions)? Enroll in 3rd Prof Buster 1.0 on the MedLive app today — structured by exam topics, built for fast revision, and updated with Robbins 11th-edition correlations. 🔥 Special Premiere Offer: Early-enrolment bonus — downloadable high-yield notes + one live group Q&A for the first 100 students. 👉 Download the MedLive app and search “3rd Prof Buster 1.0” to enroll now. (Mention your promo code PREMIERE20 during checkout.) Pinned comment suggestion: “Want full notes, MCQ bank & live Q&A? Enroll in 3rd Prof Buster 1.0 on the MedLive app — special Premiere bonus for early birds 👇” #Epidemiology #PSM #CommunityMedicine #DrPriyankaSachdev #NEETPG #MBBS #ResearchMethodology #MedLive