Precision in estimates of treatment effects Flashcards

1
Q

Compare the 3 study designs of a trial

A
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2
Q

Do you think it is important to pre-specify primary and subsidiary outcomes?

A

Yes
- Failure to do so decreases the validity of the trial and avoids the impression that the researchers are “fishing” for a positive result.- Studies that fail to do so are also less influential when evidence is assessed to determine clinical guidelines

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3
Q

Issues with studying the whole population:

A
•Very difficult to do!
•Possible if routine sources of health data are 
available... still limited
•Not necessary
•Things change over time
•Need updated information
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4
Q

Why do we use samples?

A

We use samplesto provide estimatesof population parameters

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5
Q

Sampling Bias

A

Sample is selected in such a way that the individuals chosen are not representative of
the whole study population

Example:- estimating SBP in middle aged adults in England, but only those that are in
employment will underestimate true answer

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6
Q

How do we avoid bias?

A

Take random sample if possible of the population of interest

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7
Q

Difference between accuracy and precision

A

Accuracy is to do with getting
the right answer – avoiding bias

Precision is to do with inherent
error associated with any
estimate

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8
Q

Define Reference Range

A

A measure of the spread of the continuous numerical data only

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9
Q

What is confidence interval

A

confidence interval is a measure of statistical uncertainty
or “precision”

Confidence intervals are
used to quantify the
precision (or uncertainty)
around estimates

A measure of the precision of a sample estimate

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10
Q

How would you interpret confidence interval

A
  • Reference range: In population of similar 45y old men, mean SBP is ~133mmHg, expect 95% of men to have SBP values between ~104-162mmHg;
  • Confidence interval: 95% sure that average SBP in similar population of men would be from 132-133mmHg
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11
Q

Formula for reference range

Formula for confidence interval

A

Formula: Mean +/- 2 Standard Deviations

Formula: Mean +/- 2 Standard Errors

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12
Q

When is the confidence interval statistically significant?

A

It is statistically significant when it doesn’t include a null value (0)

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13
Q

Risk ratio

A

Risk ratio (RR) = risk of outcome in drug ÷ risk of outcome in placebo (control)

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14
Q

Calculate relative risk

A
Value of no effect = “1”
Unitless ratio (units cancel out)
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15
Q

Risk ratio = 0.79 for simvastatin vs placebo

How would you interpret this?

A

Risk of vascular event 21% lower for simvastatin vs placebo

Tip! You can derive this interpretation by subtracting 1 from the relative risk

  1. 79 minus 1 = -0.21 => 21% decrease
  2. 79 minus 1 = +0.79 => 79% increase
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16
Q

The 95%CI for the relative risk for any vascular event was 0.72 to 0.81 between simvastatin & placebo group

What can you conclude here? There is …

A

Strong evidence to suggest that simvastatin reduces overall risk

We are 95% confident that the interval contains the “true” treatment effect

  • Since the 95% CI for the relative risk does not contain 1 (which would represent no reduction in risk) and both ends of the interval are <1 suggesting a reduction
17
Q

Absolute Risk Difference = -5.4% for simvastatin vs placebo

How would you interpret this?

A

The difference in the overall risk of a vascular event in the simvastatin group is 5.4 percent lower compared to placebo

In a group of 1,000 people, 54 fewer people with have a vascular event if they all switch from placebo to Simvastatin

1 less person will have a vascular event for approximately every 19 people that switch from placebo to simvastatin

18
Q

Mean LDL Difference = -0.9 mmol/L, 95%CI = -1.06 to -0.74 mmol/L

What would you conclude based on these findings? There is …

A

Evidence to suggest simvastatin decreases LDL

Since both ends of the 95%CI are in the same direction. i.e. a reduction in LDL and zero (no benefit) is not included in the 95%CI, we have evidence to conclude that the results are consistent with an overall benefit of simvastatin in lowering LDL cholesterol levels after 3 years of treatment.

19
Q

Calculate the absolute difference?

A

Value of no effect (no difference) = “0”

Differences have “UNITS” e.g.