Accuracy assessment methods and current challenges

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If (1- β) = 0.8 – 80% chance of declaring a difference that exists as being significant. Is 0.8 adequate Many studies often fail to detect a significant difference – did the study have sufficient power Tests using small sample sizes often underpowered. Difficult to interpret non-significant results (is there really no difference or just failed to identify it)
Estimating sample size To determine sample size need to consider: • Significance level α • Power (1- β) • Effect size – minimum meaningful difference.
Page 1 and 2: Accuracy assessment methods and cha
Page 3 and 4: Challenges include • Class defini
Page 5 and 6: Popular measures e.g. Sensitivity =
Page 7 and 8: NO, because the matrix might look l
Page 9 and 10: Impact on estimation Real accuracy
Page 11 and 12: PART 2: Comparisons Often compare (
Page 13 and 14: BUT Aim is often not to estimate ac
Page 15 and 16: Comparative analysis Comparative an
Page 17: Type II error H o is incorrectly ac
Page 21 and 22: e.g. common scenario v another accu
Page 23 and 24: So what Remember, important to use
Page 25 and 26: v another accuracy

Accuracy assessment methods and current challenges

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