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
what is logistic regression?
statistical test to predict the relationship between a DICHOTOMOUS outcome vs a set of variables while controlling for other variables in the analysis
26
what is Bonferroni's correction
a method to correct for multiple repeated testing on the same data set
27
what is Kolmogorov-Smirnov?
test to determine if data is parametric or not
28
what is Shaprio-Wilk?
test to determine if the data is parametric or not
29
LR +
= (positive test/presence of disease) / (positive test/absence of disease) = sensitivity / (1 - specificity)
30
LR -
= (negative test/presence of disease) / (negative test/absence of disease) = (1 - sensitivity) / specificity
31
How do you use LRs?
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
What are clinically significant LRs?
LR + > 10 | LR - < 0.1
33
formula for odds ratio
(AxD)/(BxC) in standard 2x2 table
34
what's the difference between odds ratio and relative risk?
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