Sensitivity and Specificity Explained Clearly

INTERPRET DIAGNOSTIC TESTS WITH CONFIDENCE

Sensitivity, specificity, and predictive values shape how much a test result should change your thinking. Dr. Roger Seheult explains the definitions, gives a simple way to remember the math, and applies it to real clinical decisions.

WHO IS THIS COURSE FOR?

Medical, nursing, and physician assistant students, and clinicians preparing for boards or reviewing evidence-based medicine.

WHO IS THE INSTRUCTOR?

Dr. Roger Seheult, MD, is quadruple board certified in internal medicine, pulmonary medicine, critical care, and sleep medicine. He is trusted by universities, clinicians, and medical learners worldwide for his ability to illustrate complex topics so they are understood, not memorized.

Clear understanding leads to confident clinical decisions and reduces information overload.

WHAT YOU'LL RECEIVE IN THIS COURSE:

Definitions, equations, and graphs for sensitivity and specificity
The 2x2 square for positive and negative predictive value
Practical applications in clinical decision making

Want more? MedCram All-Access unlocks all 60+ courses, plus 70+ hours of CME/CE credit.

Course Contents:

Sensitivity & Specificity: Definitions, Equations, and Graphs free trial
Sensitivity, Specificity, Positive Predictive Value, & Negative Predictive Value: The Square
Sensitivity & Specificity: Practical Applications

Featured reviews

Kevin Delahanty, MD

Wow! Where have you been for the entirety of my professional life? I've come to the realization that I am a visual learner. No one has been able to teach me biostatistics in a way that I can understand it until I found MedCram. Thank you. I'm recommending your website to all of my friends.

Pauline VanMeurs

Best explanation I've ever heard of the concepts of Sensitivity and Specificity. Not only do I get it, but I can now explain it to someone else.

Paula Underwood

This was very clearly explained. I wish I had had this type of explanation when I was doing my Master's Degree in Public Health.

Angela Jones

Nice, easy to understand presentation of sensitivity and specificity. Just enough for me to get these questions correct on my board exam!

Stephanie Harris-Penson

Great course. I finally understand how to calculate PPV and NPV. Great review for me on Sensitivity and Specificity. Makes so much sense now. I love the analogies Dr. Seheult uses. Really clarifies the concept. Thank you for these courses.

Elizabeth Brost

Outstandingly clear and useful information/review. Recommend to anyone regularly reviewing articles for understanding results as well as board prep information.

Paul Cardinet

He explains definitions clearly. Then builds on that to show how to use sensitivity and specificity in clinical setting.

Staci Kay

Great review. I love the SPIN and SNOUT memory moves!

Eric Sjoden

Great analogies and thorough explanation helped make sensitivity and specificity easily understood. Thanks.

Sandra Perkins

Extremely clear. I am a visual learner. These diagrams will stick with me.

All reviews, Most recent first

JERRY BASKERVILLE, MD

Excellent review!

JENNIFER LAWSON, PA-C

very interesting / easy of how to calculate the spec/sen of a test.

PATRICK TAM

Very clearly explained. Thanks

MARC GRIGG

The instructor did a really good job of going over the material in a simple and easy way to understand.

JINNYI CLEMENTS

Good stuff

CATHY DAVIS, NP

I learned so much that I had struggled with for years.

YAIR GRINBERG, MD

The first and third lectures were extremely clear. The second lecture could be improved with better definitions of what is being graphed (what the axes are). I think it would help if you explained what two completely separate bell curves would mean, what two completely congruent bell curves mean and then lead into the explanation of overlapping curves. In terms of prevalence, the concepts here explain why racial profiling by police departments does not work. Even if one assumes that the criminal justice system works perfectly, which it does not, given the low prevalence of criminality in the population, using a commonly distributed trait (like being black or brown) would have no positive predictive value for detecting criminality.