ALL you need to know about MEDICAL STATISTICS!

Name: ALL you need to know about MEDICAL STATISTICS!
Start: 2025-06-02T17:00:00+00:00
End: 2025-06-02T19:00:00+00:00

2nd Jun 2025

5:00 - 7:00pm (GMT)

Epidemiology

2nd Jun 2025

5:00 - 7:00pm (GMT)

Event will start in 24 hours+

Hosted on MedAll

Attendance certificate available

Free

ONLINE

Description

Welcome to Teaching Things!

We're excited to bring you this high-yield teaching series, designed to help you ace both your written and practical exams.

This tutorial will focus on Statistics covering key differentials such as NNT and specificity/sensitivity to ensure you're well-prepared.

The session will be led by Millie and Prisha, both medical students in their clinical years at UCL, who are passionate about delivering practical, exam-focused content.

Don’t forget to fill out the feedback form after the tutorial—we value your input! And remember, you can access recordings of all past tutorials on our page.

Summary

This enticing tutorial on Medical Statistics is designed to equip medical professionals with the knowledge needed to ace their written and practical exams. Led by Millie and Prisha, clinical year medical students at UCL, this high-yield teaching series covers key differentials like NNT and sensitivity/specificity, ensuring comprehensive preparation. Feedback is encouraged for continuous improvement and access to past tutorial recordings is available.

Generated by MedBot

Learning objectives

Understand the fundamentals of medical statistics, and recognize their importance in research, clinical practice, and policy making.
Define and understand key statistical concepts including mean, median, mode, variance, standard deviation, and confidence intervals.
Interpret statistical measures such as NNT (Number Needed to Treat) and discuss their relevance in a medical context.
Understand and apply the principles of specificity and sensitivity in the context of diagnostic test evaluation.
Develop skills to critically assess medical research, focusing on statistical methods and interpretation of results.

Generated by MedBot

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