How to Interpret a Confidence Interval in Cancer Studies?
A 95% confidence interval means that if the same study were conducted 100 times, the true parameter would lie within the interval in 95 out of those 100 studies. For example, if a study reports a 5-year survival rate for breast cancer patients with a 95% CI of 80-90%, it implies there's high confidence that the true survival rate falls within this range.
