Скачать или смотреть Kaplan–Meier Curve Explained Visually | Survival Analysis Made Easy

Understanding medical research can be confusing—especially when clinical trials report survival statistics using complex graphs.
In this video, we break down the Kaplan–Meier curve from absolute zero, using stick-figure diagrams, clear labels, arrows, and visual storytelling on a clean white background so anyone can understand it.

This video explains WHY simple survival percentages can be misleading and how the Kaplan–Meier curve reveals the full timeline of patient outcomes. You’ll learn how researchers track time-to-event, handle real-world incomplete data, and compare treatments accurately.

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🧠 WHAT YOU WILL LEARN IN THIS VIDEO

✔ What a Kaplan–Meier curve is and why it’s used
✔ Why “70% survival” can hide critical information
✔ Time-to-event analysis explained visually
✔ How early vs late deaths change clinical meaning
✔ Why Kaplan–Meier curves look like a staircase
✔ How to read the X-axis (time) and Y-axis (survival probability)
✔ What vertical drops and flat lines represent
✔ What censoring is and why it matters
✔ Right censoring explained with examples
✔ Why tick marks are warning signs
✔ How to compare two curves (new drug vs placebo)
✔ What crossing curves mean (and why it’s bad)
✔ How to find median survival directly from the graph
✔ What “median survival not reached” really means
✔ Log-Rank Test explained simply
✔ What a P-value actually tells you
✔ Hazard Ratio (HR) explained intuitively
✔ Difference between statistical significance and clinical relevance
✔ A final checklist to read any Kaplan–Meier curve confidently

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👩‍⚕️ WHO THIS VIDEO IS FOR
• Medical & nursing students
• Public health & epidemiology learners
• Biostatistics beginners
• Clinical trial readers
• Researchers & exam aspirants
• Anyone confused by survival analysis

No formulas memorized.
No confusing jargon.
Just clear visuals and logic.

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🎓 WHY THIS VIDEO IS DIFFERENT

This channel teaches entirely through diagrams and stick-figure visuals so concepts stay in your memory.
If you’ve ever looked at a Kaplan–Meier curve and thought “I don’t really get this” — this video is for you.

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