Statistics Flashcards

1
Q

Parametric Data =
Tests used to assess difference between groups

A

= normally distributed data
Unpaired or paired T-tests

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2
Q

Non-Parametric Data =
Test used to assess difference between groups

A

= non-normally distributed data
Wilcoxon-signed rank test

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3
Q

Absolute risk reduction

A

= control event rate - experimental event rate
(remember to divide by number in each group)

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4
Q

Standard error of the mean =

A

SD of sample/ sq. root of sample size

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5
Q

Type 1 error

A

= rejecting the null hypothesis which is true

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6
Q

Type 2 error

A

= rejecting the alternative hypothesis which is true

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7
Q

Unpaired vs paired T test

A

Paired = two small paired observations
e.g. comparison of effects of two drugs at different points in time

Unpaired = comparison of two independent samples e.g. two different groups of patients

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8
Q

Non Parametric tests

A

Chi Squared test
Wilcox Rank test
Mann U Whitney test

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9
Q

Chi squared test

A

= compare percentages or proportions
Continuous data
Non normal distribution

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10
Q

Wilcox Rank Sum

A

= unpaired data (before and after)

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11
Q

Mann U Whitney

A

= similar to Wilcox but for ordinal/interval data

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12
Q

Incidence =

A

number of new cases / total population at risk

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13
Q

Prevalence =

A

total cases / total population at risk

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14
Q

Incidence vs absolute risk

A

SAME THING
Absolute risk = new cases/total population at risk

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15
Q

Relative risk =

A

experimental event rate
control event rate

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16
Q

Sensitivity =

A

= ability of test to correctly identify those who truly have the disease

17
Q

Sensitivity formula =

A

true positive
true positive + false negative

18
Q

Specificity =

A

= test’s ability to correctly identify those who do not have the disease

19
Q

Specificity formula =

A

true negative

true negative + false positive

20
Q

Positive predictive value

A

All of the positives
True positive
——————-
True positive + false positive

21
Q

Negative predictive value

A

All of the negatives
True negative
——————–
True negative + false negative

22
Q

Positive result likelihood
- definition
- formula

A

= how much odds of disease increase when test is positive

sensitivity
1-specificity

23
Q

Power =

A

1 - chance of making a type II error

24
Q

Number needed to treat =

A

1
absolute risk reduction

25
Q
A