stats Flashcards

1
Q

what is randomised controlled trial?

A

participants randomly allocated to intervention or control group (e.g. standard treatment or placebo)

Practical or ethical problems may limit use

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

what is cohort study?

A

Observational and prospective. Two (or more) are selected according to their exposure to a particular agent (e.g. medicine, toxin) and followed up to see how many develop a disease or other outcome.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

usual outcome measure for cohort sutdy?

A

relative risk

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

case control study?

A

Observational and retrospective. Patients with a particular condition (cases) are identified and matched with controls. Data is then collected on past exposure to a possible causal agent for the condition.

Inexpensive, produce quick results
Useful for studying rare conditions
Prone to confounding

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

usual outcome measure in case-control study?

A

odds ratio.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

cross-sectional survey?

A

Provide a ‘snapshot’, sometimes called prevalence studies

Provide weak evidence of cause and effect

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

what is the gold standard in terms of evidence?

A

meta-analysis

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

what is meta-analysis?

A

a statistical technique used to combine data from multiple studies to derive a more precise estimate of a treatment effect or association

the primary goal is to increase power and improve estimates of the size of the effect, especially when individual studies may be too small (i.e. low-powered) to produce reliable results on their own

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

what can affect meta-analysis?

A

meta-analyses can be affected by publication bias, where studies with positive results are more likely to be published than those with negative or inconclusive results

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

what is variance?
how measures?

A

Variance is a measure of the spread of scores away from the mean.

Variance = square of standard deviation

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

how do you measure sensitivity?

A

TP / (TP + FN )

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

what is sensitivity?

A

Proportion of patients with the condition who have a positive test result

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

what is specificity?

A

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

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q

how do you measure specificity?

A

TN / (TN + FP)

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

what is positive predictive value?
measure?

A

The chance that the patient has the condition if the diagnostic test is positive

TP / (TP + FP)

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q

what is negative predictive value?
measure?

A

TN / (TN + FN)

The chance that the patient does not have the condition if the diagnostic test is negative

17
Q

what Is Likelihood ratio for a positive test result ?
measure?

A

sensitivity / (1 - specificity)
How much the odds of the disease increase when a test is positive

18
Q

what is Likelihood ratio for a negative test result?

measure?

A

(1 - sensitivity) / specificity
How much the odds of the disease decrease when a test is negative

19
Q

what is precision?

A

The precision quantifies a tests ability to produce the same measurements with repeated tests.

20
Q

what is null hypothesis?

A

A null hypothesis (H0) states that two treatments are equally effective

21
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.

22
Q

what is type 1 error?

A

the null hypothesis is rejected when it is true

23
Q

what is type 2 error?

A

the null hypothesis is accepted when it is false

24
Q

what is the power fo a study?

A

The power of a study is the probability of (correctly) rejecting the null hypothesis when it is false, i.e. the probability of detecting a statistically significant difference

power = 1 - the probability of a type II error

power can be increased by increasing the sample size

25
what are significance tests?
A significance test uses the sample data to assess how likely the null hypothesis is to be correct. used depends on whether the data is parametric (something which can be measured, usually normally distributed) or non-parametric
26
what are parametric tests?
Student's t-test - paired or unpaired* Pearson's product-moment coefficient - correlation
27
what are non-parametric tests?
28
what is NNT?
Numbers needed to treat (NNT) is a measure that indicates how many patients would require an intervention to reduce the expected number of outcomes by one.
29
NNT measures?
It is calculated by 1/(Absolute risk reduction) and is rounded to the next highest whole number
30
what is EER?
Experimental event rate (EER) = (Number who had particular outcome with the intervention) / (Total number who had the intervention)
31
what is CER?
Control event rate (CER) = (Number who had a particular outcome with the control/ (Total number who had the control)
32
how do you calculate absolute risk reduction?
if the outcome of the study is undesirable then ARR = CER - EER if the outcome of the study is desirable then ARR* = EER - CER
33
how to calculate odds ratio of relief with paracetamol + with placebo?