Stats Flashcards

From all resources: AAP PREP:EM Course

1
Q

formula for NNT

A
NNT = 1/ARR
ARR = absolute risk reduction
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2
Q

type I error

A

rejecting the null hypothesis when it’s actually correct
false positive study
alpha

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3
Q

type II error

A

failure to reject the null hypothesis appropriately
false negative study
beta

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4
Q

failure to reject the null hypothesis appropriately

A

type II error

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5
Q

rejecting the null hypothesis when it’s actually correct

A

type I error

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6
Q

What 3 factors do you need to look at to determine the appropriate type of statistical test to perform?

A
  1. is the distribution parametric or not?
  2. is your data continuous, nominal/ordinal, or categorical?
  3. are your tested populations dependent or independent?
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7
Q

Sensitivity =

A

TP / TP+FN

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8
Q

Specificity =

A

TN / TN+FP

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9
Q

Power

A

1 - beta

beta = type II error rate

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10
Q

PPV =

A

TP / TP+FP

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11
Q

NPV =

A

TN / TN+FN

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12
Q

Incidence vs Prevalence

A
Incidence = RATE of new diseases over a period of time
Prevalence = number of existing disease cases at a specific POINT in time
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13
Q

What do you need to calculate the sample size for a study?

A
  1. the effect size
  2. the type I error rate
  3. the type II error rate
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14
Q

what is the reciprocal of the rate difference?

A

the NNT

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15
Q

What is the other name for the Mann-Whitney U test?

A

Wilcoxon rank-sum test

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16
Q

What is another name for the Wilcoxon rank-sum test?

A

Mann-Whitney U test

17
Q

What is the t-test?

A

statistical test for parametric, continuous data that is independent

18
Q

what is the paired t-test?

A

statistical test for parametric, continuous data that is paired

19
Q

what is the ANOVA?

A

statistical test for parametric, continuous data with 3 or more independent groups

20
Q

what is the wilcoxon signed-rank sum test?

A

statistical test for non-parametric, continuous data that is paired
non-parametric corollary to paired t-test

21
Q

what is the wilcoxon ranked-sum test?

A

statistical test for non-parametric, continuous data that is independent
nonparametric corollary to t-test
also called the mann-whitney u test

22
Q

what is the kruskal-wallis?

A

statistical test for non-parametric, continuous data with 3 or more independent groups
nonparametric corollary to ANOVA

23
Q

what is the Chi-square test?

A

statistical test for parametric, categorical data with independent groups

24
Q

what is the Fisher’s exact test?

A

statistical test for parametric, categorical data with independent groups if there are <5 measurements/group

25
Q

what is logistic regression?

A

statistical test to predict the relationship between a DICHOTOMOUS outcome vs a set of variables while controlling for other variables in the analysis

26
Q

what is Bonferroni’s correction

A

a method to correct for multiple repeated testing on the same data set

27
Q

what is Kolmogorov-Smirnov?

A

test to determine if data is parametric or not

28
Q

what is Shaprio-Wilk?

A

test to determine if the data is parametric or not

29
Q

LR +

A

= (positive test/presence of disease) / (positive test/absence of disease)
= sensitivity / (1 - specificity)

30
Q

LR -

A

= (negative test/presence of disease) / (negative test/absence of disease)
= (1 - sensitivity) / specificity

31
Q

How do you use LRs?

A

You have to convert the pretest probability to odds
This is pretest probability / (1 - pretest probability)
Then you multiply by the LR
Finally, you convert the odds BACK to the probability!

32
Q

What are clinically significant LRs?

A

LR + > 10

LR - < 0.1

33
Q

formula for odds ratio

A

(AxD)/(BxC) in standard 2x2 table

34
Q

what’s the difference between odds ratio and relative risk?

A

relative risk is used when patients are followed over time.

odds ratio is used when patients already have the outcome and you look back retrospectively at an exposure of interest