Power & Sample Size Flashcards

1
Q

Power definition

A

probability of correctly rejecting the null hypothesis if it is false

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2
Q

type 2 error

A

false negative; not rejecting the null hypothesis when it is false

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3
Q

type 1 error

A

false positive; probability of rejecting null hypothesis when it is true

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4
Q

which error relates to power

A

type 2 error
>power = 1-P(type 2 error)

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5
Q

which error relates to significance level

A

type 1 error

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6
Q

lower significance will require….

A

more patients

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7
Q

minimum clinical difference relates to…

A

effect size

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8
Q

minimum clinical difference definition

A

the difference you would want to see to conclude the treatment has had an effect

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9
Q

sample size test for continuous outcomes

A

difference in means
>common SD (prior knowledge)
>based on t-test
>data can be non-parametric

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10
Q

what is d

A

the effect size; mean difference/SD

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11
Q

sample size test for binary outcomes

A

difference in proportions
>based on chi-squared or fishers test
>variance of absolute difference with sample size

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12
Q

dropout adjustment

A

> usually 20% but based on previous studies
i.e new sample size = n/0.8

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13
Q

cluster trials (sample size calc.)

A

> need to account for correlation between individuals within clusters
inflate usual sample size by design effect

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