measures of association Flashcards

1
Q

what types of studies are medical research studies?

A

they are RCTS, case-control and cohort

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2
Q

how are outcomes measured?

A

a variety of ways - categorical (positive or negative), continuous subjective measures such as pain, and continuous objective measures such as HbA1C

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3
Q

what are measures of association for?

A

the effect of new treatments with dichotomous outcomes

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4
Q

how can the measures of association be measured?

A

relative risk, risk difference or odds ratio - they will show the direction and magnitude of association between variables

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5
Q

what is probability?

A

it is the measure of chance of getting the outcome of interest from an event

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6
Q

what is the equation for probability?

A

it is the number of times the outcome of interest occurs / the total number of outcomes possible

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7
Q

how do you calculate the percentage chance?

A

it is the probability x 100

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8
Q

what is risk?

A

it is a way of expressing treatment effects - it is the probability of an event occurring

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9
Q

how do you calculate absolute risk?

A

the number of events / the number of people at risk

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10
Q

what is relative risk?

A

it is the ratio of the risk of an event in a particular group e.g. exposed in one group compared to the risk of outcome in an unexposed group (in RCTs - treatment group compared to the control group)

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11
Q

what traditionally is the numerator?

A

the group of interest. The denominator is the unexposed or control group

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12
Q

explain RR = 1?

A

it means that the risk of outcome is the same in the exposed as the unexposed group

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13
Q

explain RR <1 and RR>1?

A

RR<1 means that the risk of outcome in the exposed group is less than the risk in unexposed and >1 means that the risk of outcome in the exposed group is higher than that in the unexposed group

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14
Q

what is the range for ratio values?

A

0 to infinity

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15
Q

how would you obtain percentage reduction?

A

subtract the RR from 1 and x100

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16
Q

what does a large value of RR imply?

A

it implies a strong association - must always be interpreted in association with the confidence interval

17
Q

what is the odds?

A

it is the probability of the event occurring / the probability of the event not occurring - number of times event happens / number of times it does not

18
Q

what is the odds ratio?

A

it is the odds of the event in one group / the odds of the event in another group (exposed/unexposed)

19
Q

what does OR = 1 mean?

A

the odds in the exposed group is the same as the odds in the unexposed group

20
Q

what is 95% CI used for?

A

it is used to estimate the precision of the OR and the RR

21
Q

what does a large CI mean?

A

low precision of RR or OR

22
Q

what does the CI crossing 1 mean?

A

there is not statistical significant difference between the two groups - exposed and unexposed

23
Q

why should RR not be used in retrospective or case control studies and what are they used in?

A

they are not used in these because they are not meaningful - the proportion of cases or control is chosen by the researcher. They are used in RCTs, cohort and prospective studies

24
Q

what would you use in case-control or retrospective?

A

OR - commonly reported in logistic regression analysis

25
Q

what happens if the disease is rare?

A

RR and OR are similar

26
Q

what is the risk difference?

A

it is the difference in risk of outcome in the exposed and unexposed or treatment and control group

27
Q

what would a difference of 0.48 mean?

A

there is a 48% increased/decreased risk for developing outcome for one of the risk factors or variables

28
Q

what is useful about RD?

A

it is meaningful to find out if findings from a study are worthy of being incorporated into clinical practice - magnitude of risk difference may or may not warrant changing practice

29
Q

what is NNT and what is it used for?

A

it is number needed to treat and it is a way of evaluating the clinical importance of treatment in practice

30
Q

how do you calculate NNT?

A

1/RD

31
Q

when is NNT used?

A

in studies comparing an intervention and standard treatment

32
Q

how would we describe NNT simply?

A

it is the number of people that need too receive a treatment in order to see the desired effect in at least one of them

33
Q

how would CI contraindications relate to medical practice?

A

if there was a contradictory measurement in CI such as crossing 1 then would be concerned. Likewise be concerned with your diagnosis if the consultant would have diagnosed with something different 95% of time

34
Q

what are CI?

A

they are values to show that 95% of the time a mean will lie in this range

35
Q

what is the p value?

A

it is the probability of a coefficient being at least as big as yours - assuming the coefficient is 0

36
Q

what does a small p value represent?

A

the zero-assumption is probably wrong and then effect is likely and vice versa for a large p value - evidence is not strong enough to suggest an effect

37
Q

how would you carry out statistical process?

A

observe, guess, test, assess

38
Q

what is R squared?

A

how good the fit of the model is - how well the points align to the line of best fit

39
Q

what is S?

A

it is the deviation of the points