Interpreting Data Flashcards

1
Q

How do we calculate standard deviation (SD)?

A

square root of variance

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2
Q

How do we calculate standard error of the mean (SEM)?

A

standard deviation / square root of sample size

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3
Q

Within a normal distribution, what percentage of values lie within +/- 1 standard deviation from the mean?

A

68%

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4
Q

Within a normal distribution, what percentage of values lie within +/- 2 standard deviations from the mean?

A

95%

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5
Q

What is meant by the measure of central value?

A

Another way of saying median

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6
Q

How do we calculate a confidence interval?

A

Sample mean +/- 1.96 SE

sometimes 2 SE is used instead for simplicity

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7
Q

What is meant by a Type 1 Error?

A

False positive

Incorrect rejection of null hypothesis

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8
Q

What is meant by a Type 2 Error?

A

False negative

Incorrect acceptance of null hypothesis

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9
Q

What are the effects of increasing the sample size?

A

Decreases type 2 error and increases power of study

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10
Q

What are the axes of a ROC curve?

A

Sensitivity vs (1-Specificity)

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11
Q

How do we calculate number needed to treat (NNT)?

A

1/(ARR = absolute risk reduction)

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12
Q

What is meant by the power of a study?

A

The study’s ability to detect an effect of a specified size

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13
Q

What is meant by a likelihood ratio?

A

The effectiveness of a particular diagnostic test to confirm or exclude a particular diagnosis

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14
Q

How do we calculate a positive likelihood ratio?

A

Sensitivity/(1-specificity)

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15
Q

What is the best way of representing the probability of survival in a graphical form?

A

A Kaplan-Meier plot

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16
Q

How do we calculate a negative likelihood ratio?

A

1-Sensitivity / Specificity