Statistics Flashcards

(37 cards)

1
Q

How do you calculate the sensitivity?

A

TP/(TP+FN)
TP = true positive
FN = false negative

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2
Q

What is the standard error of the mean
Equation to work it out

A

how ‘accurate’ the calculated sample mean is from the true population mean
Standard deviation/ square root (sample size)

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3
Q

Odds vs probability

A

Probability of rolling 6 on a dice is 1/6. Odds are 1/5 (odds = ratio of those who incur an outcome vs those who do not incur the outcome) - important for working out odds ratio

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4
Q

Equation for positive predictive value

A

TP/ (TP + FP)

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5
Q

What is specificity

A

proportion of patients without the condition who have a negative test result

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6
Q

What is relative risk?

A

Relative risk (RR) is the ratio of risk in the experimental group (experimental event rate, EER) to risk in the control group (control event rate, CER).

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7
Q

How do you calculate relative risk reduction?

A

(EER-CER)/CER
EER = rate at which events occur in the experimental group
CER = rate at which events occur in the control group

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8
Q

When is hazard ratio used?

A

Used when analysing survival over time

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9
Q

Do you include patients who drop out of RCT? What is this type of analysis called?

A

Yes - intention to treat analysis.
Intention to treat analysis is done to avoid the effects of crossover and drop-out, which may affect the randomization to the treatment groups.

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10
Q

What is the p value

A

The probability of obtaining a result by chance at least as extreme as the one that was actually observed, assuming that the null hypothesis is true

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11
Q

Properties of the normal distribution

A

68.3% of values lie within 1 SD of the mean (above and below)
95.4% of values lie within 2 SD of the mean
99.7% of values lie within 3 SD of the mean

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12
Q

Features of case-control study

A

Observational and retrospective. Patients with a particular condition (cases) are identified and matched with controls. Data is collected on past exposure

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13
Q

What is the power of a study

A

The probability of correctly rejecting the null hypothesis when it is false/ probability of detecting a statistically significant difference

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14
Q

How do you calculate the likelihood ratio for a positive test reesult

A

Sensitivity/ (1-specificity)

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15
Q

How do you calculate the absolute risk reduction

A

ARR = (control event rate) - (experimental event rate) - if outcome is undesirable
ARR = EER - CER if outcome is desirable

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16
Q

What is variance?

A

Square root of standard deviation

17
Q

How do you calculate number needed to treat

A

1/ absolute risk reduction

18
Q

What is a funnel plot used for?

A

To demonstrate the existence of publication bias in meta analyses

19
Q

What is the p value?

A

Is the probability of obtaining a result by chance at least as extreme as the one that was actually observed, assuming that the null hypothesis is true

20
Q

What is the outcome measure in case-control study

21
Q

Which statistical test is used for parametric data (normally distributed)

A

Student’s t-test - paired or unpaired*
Pearson’s product-moment coefficient - correlation

22
Q

Which statistical tests are used for non-parametric data (not normally distrubuted)

A

Mann-Whitney U
Wilcoxon signed-rank test
Chi-squared
Sprearmans rank

23
Q

Which statistical test is used for to compare two sets of observations on a single sample, e.g. a ‘before’ and ‘after’ test on the same population following an intervention

A

Wilcoxon signed-rank test

24
Q

Equation to work out prevalence

A

prevalence = incidence * duration of condition

25
Equation to work out specificity
Proportion of patients without the condition who test negative -> TN / (TN + FP)
26
What is lead time bias?
When two tests for a disease are compared, the new test diagnoses the disease earlier, but there is no effect on the outcome of the disease
27
How to work out power of a study
1 - probability of type II error
28
Which statistical tests look at correlation
Parametric (normally distrubited): pearsons coefficient Non-parametric ( not normally distributed): spearman's coefficient
29
When to use wilcoxon vs mann-whitney U test
Wilcoxon - paired data Mann-Whitney U - unpaired data
30
What is late-look bias
Gathering information at an inappropriate time e.g. studying a fatal disease many years later when some of the patients may have died already
31
Benefit on non-inferiority trials
Small sample size is required
32
What is the negative predictive value?
TN / (TN + FN)
33
What is positive predictive value?
The chance that the patient has the condition if the diagnostic test is positive
34
What is a type 1 error
the null hypothesis is rejected when it is true
35
When is student paired t test used
comparing two related or matched samples, or repeated measurements on a single sample
36
What is the outcome measure of a cohort study
Relative risk
37
What is a high power value
e.g 0.95 or 95% is high, 5% or 0.05 is low