P Values Explained Clearly: Statistical vs Clinical Significance episode artwork

EPISODE · May 19, 2026 · 29 MIN

P Values Explained Clearly: Statistical vs Clinical Significance

from This Is Why with Dr. Busti · host Anthony Busti, MD, PharmD, MSc, FNLA, FAHA

P values explained clearly in clinical research — This Is Why understanding what a P value means (and does NOT mean) with Dr. Busti is critical for interpreting evidence and applying it to patient care.In this episode, Dr. Busti breaks down one of the most misunderstood concepts in biostatistics: the P value. You’ll learn exactly what a P value tells you about chance, random error, and statistical significance—and more importantly, what it does NOT tell you about clinical relevance.Using landmark clinical trials, including real-world examples, this episode connects statistical interpretation to actual patient care decisions so you can move beyond memorization and truly understand the “why” behind the data.Topics Covered:- What a P value actually represents- What a P value does NOT mean- Why P values do not determine clinical significance- Interpreting P values as probabilities of chance- Relationship between P values and null hypothesis- Type I error and limitations of P values- Role of bias, power, and random error- UKPDS trial interpretation and sample size impact- HOPE trial interpretation and clinical relevance- Statistical vs clinical significance in practice- Internal vs external validity👉 Access bonus materials and downloads from this episode at: https://www.thisiswhy.health/topics/p-value-interpretation-clinical-significance-board-question👉 Get more with a free membership at https://www.thisiswhy.health/- Access free downloads from our videos - Access deep dive content from Dr. Busti- Organize content via playlists & collections- Join live Q&A- Receive member newsletters- Coupons & discounts for exam prep resources👍 If this helped you, please like, subscribe, and share it with a classmate or colleague. That will help this new channel continue producing free, high-yield medical education content.🔔 Don’t forget to turn on notifications so you don’t miss upcoming lectures in pharmacology, medical rounds, and more!#pvalue #statisticalsignificance #clinicalresearch #evidencebasedmedicine #DrBustiSpeaker:Anthony Busti, MD, PharmD, MSc, FAHA, FNLA, is a licensed healthcare professional and medical educator with over 30 years of experience in clinical practice and academic teaching. He has trained and practiced as a nurse, pharmacist, and physician, bringing a uniquely comprehensive perspective to patient care and medical education.Dr. Busti is dedicated to advancing evidence-based medicine and helping clinicians understand the underlying “why” behind clinical decisions to improve patient outcomes.About This Channel:This content is created by Anthony Busti, MD, PharmD, MSc, FAHA, FNLA, a board-certified physician with training at Johns Hopkins School of Medicine and University of Oxford and a medical educator for healthcare professionals and students. All material is based on current medical literature and evidence-based guidelines that align with principles of evidence-based medicine (EBM) and Evidence-Based Healthcare (EBHC).Disclaimer:This content is for educational purposes only and is not medical advice. It does not replace individualized evaluation, diagnosis, or treatment. Always seek the advice of a qualified health provider with questions about a medical condition and never delay care because of educational content.

Episode metadata supplied by the publisher feed · Published May 19, 2026

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P values explained clearly in clinical research — This Is Why understanding what a P value means (and does NOT mean) with Dr. Busti is critical for interpreting evidence and applying it to patient care. In this episode, Dr. Busti breaks down one of the most misunderstood concepts in biostatistics: the P value. You’ll learn exactly what a P value tells you about chance, random error, and statistical significance—and more importantly, what it does NOT tell you about clinical relevance. Using ...

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P Values Explained Clearly: Statistical vs Clinical Significance

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