Biostats Flashcards

1
Q

What parameter helps you interpret the significance of a single result in a single patient, regardless of prevalence?

A

Likelihood ratio

The LR tells you how likely a single result is to be truly positive or negative.

Positive LR = sensitivity / (1 - specificity)

Negative LR = (1 - sensitivity) / specificity

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2
Q

Describe verification bias.

A

Verification bias occurs when the gold standard workup is applied selectively to a given population. Most often this happens when the gold standard test is invasive or costly. Applying it selectively will miss positive results in patients not worked up and may make the selected population seem sicker.

This is also called workup bias.

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3
Q

What is a standardized incidence ratio?

A

It is a way of knowing if the incidence of something in a given population is higher or lower than expected.

The formula:

SIR = (observed cases) / (expected cases)

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4
Q

What is an effect modifier?

A

An effect modifier is a factor that modifies the effect of something else. For instance, age in Reye syndrome is an effect modifier for aspirin.

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5
Q

Explain in words what an odds ratio greater than 1 means.

A

Exposure to something increases your risk of developing a defined outcome

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6
Q

In a negatively skewed distribution, what are the relationships (i.e., greater than or less than)?

Mean ____ median ____ mode

A

less than; less than

“Skewing” refers to where the mean sits in relation to the bulk of the population. In a negatively skewed plot, the mean is less than the median and mode because there are low outliers.

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7
Q

In a positively skewed distribution, what are the relationships (i.e., greater than or less than)?

Mean ____ median ____ mode

A

greater than; greater than

“Skewing” refers to where the mean sits in relation to the bulk of the population. In a positively skewed plot, the mean is greater than the median and mode because there are high outliers.

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8
Q

If you are finding the average incidence of something occurring across two unequal groups, this is called a ________ average.

A

weighted

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9
Q

_____________ = (incidence of disease in exposed group) / (incidence of disease in unexposed group)

A

Relative risk

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10
Q

A type I error is a false __________.

A

positive

(“Pos1tive”)

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11
Q

A type II error is a false ____________.

A

negative

(“Ne2ative”)

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12
Q

Smaller studies have a higher rate of type ____ errors compared to larger studies.

A

II

The smaller population means lower power.

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13
Q

SMR stands for what?

A

Standardized mortality ratio

This is a value that looks at the observed number of deaths from a particular cause divided by the expected number of deaths. It helps to evaluate if there is a higher or lower than expected incidence of death from a specific cause.

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14
Q

One problem with studies looking at mortality rates among working people is that _______________.

A

working people are generally healthier than non-working people, something called the healthy worker effect (HWE)

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15
Q

Review the formulas for positive and negative likelihood ratios.

A

PLR = sensitivity / (1 - specificity)

NLR = (1 - sensitivity) / specificity

Just remember you “like sensitive specifics” and then the formulas can tell you which is negative and positive. Having a high specificity makes it more likely to be a true positive.

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16
Q

What does a funnel plot help to assess?

A

It assesses for publication bias. A funnel plot compares the effects of multiple studies against their standard error. The distribution has a symmetric triangle straddling the line of significance (that delineates null vs positive effect). In normal variation, there should be some studies on both sides; no study is perfect. If all of the studies are positive then this is an example of publication bias, because the negative studies are being neglected.

17
Q

___% of data will fall within 1 standard deviation of the mean in a normal distribution.

A

68

95% within two SDs.

18
Q

Using CAD as an example, review primordial prevention, primary prevention, secondary prevention, tertiary prevention, and quaternary prevention.

A
  • Primordial prevention refers to eliminating the risk factors for a disease. In the case of CAD, HTN and obesity are risk factors. Having healthy people exercise and eat healthy would be an example of primordial prevention because those actions are designed to eliminate HTN and obesity before they start.
  • Primary prevention means addressing the risk factors once the risk factor is already known. In the case of CAD, HLD is a risk factor. Treating HLD with statins is a primary preventative measure for CAD.
  • Secondary prevention measures are things you do to stop a disease from getting worse once it starts. If someone has a positive stress test then starting them on ACEi, beta blockers, aspirin, and stating are secondary measures.
  • Tertiary prevention is stopping the complications of a disease from getting worse. If someone has CAD and they have an MI, then getting cardiac rehab is an example of tertiary prevention.
  • Quaternary prevention is actually limiting the effects of the healthcare system from overdoing care for those with advanced disease.
19
Q

What are the four levels of treatment recommendation?

A

Level I: benefit is much greater than risk; treatment should be offered

Level IIa: benefit is slightly greater than risk; it is reasonable to offer treatment

Level IIb: benefit is equal to risk; should generally not be offered

Level III: benefit is less than risk and is contraindicated

20
Q

What is the formula for PPV?

A

PPV = TP / (TP + FP)

21
Q

What is the difference between efficacy and effectiveness?

A

Efficacy describes the effect under the best conditions, while effectiveness describes the typical effect in real-world settings.

22
Q

What is the alpha?

A

Probability of a false positive

23
Q

What is the beta?

A

Probability of a false negative (think beta comes after alpha just like negative is less prominent than positive)