Bio Stats

Question 1

Describe type I and II errors in terms of alpha and beta

Answer 1

Alpha comes before beta

type I error (not taking a low enough alpha)= saying there is a difference when none exists = false positive

type II error (power = 1 - beta) = saying there’s no difference when one does exist = false negative

Question 2

Hazard ratio vs. relative risk

Answer 2

cohor study vs RCT??