Science Series - Module 3
Demystifies statistics in oncology—so you can interpret Kaplan–Meier and forest plots, understand hazard ratios, p-values, and confidence intervals, and leverage real-world evidence without fear of numbers.
What you will learn
Hypothesis testing: p-values, alpha, power, and multiplicity corrections.
Time-to-event analyses: reading Kaplan–Meier curves and log-rank tests.
Hazard ratios, confidence intervals, and subgroup interpretation via forest plots.
Strengths and limitations of real-world evidence versus randomized trials.
Note: Module topics are subject to change
Coming Soon
Short lessons ~15mins
Interactive Content
Downloadable cheatsheets
8 lessons
1 hour 50 minutes
3 core competencies
Clinical Trial Literacy
Scientific Storytelling
Deep Research & Regulatory Mastery
