Biostats Flashcards

(63 cards)

1
Q

A variable or attribute that increases the probability of developing a disease or injury

A

Risk factor

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2
Q

The likelihood of an event occurring under specific conditions (%)

A

Absolute risk

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3
Q

Formula for absolute risk

A

(a+c)/(a+b+c+d)

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4
Q

Used to measure the probability of an individual developing an outcome in a study population

A

Absolute risk

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5
Q

Absolute risk is used in what kind of studies?

A

Cohort studies

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6
Q

Measures used to quantify the strength of a relationship between two variables

A

Measures of association (RR, OR, HR)

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7
Q

What are the estimates of association strength?

A
  • relative risk
  • odds ratio
  • hazard ratio
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8
Q

RR, OR, and HR are considered statistically significant if the p-value is

A

p value is < 0.05

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9
Q

Formula for relative risk

A

(a/(a+b)) / (c/(c+d))

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10
Q

Compares the risk of an outcome in those with the exposure to those without the exposure

A

Relative risk

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11
Q

Used to measure how strongly a risk factor is associated with an outcome (death, injury, disease) OR to help establish disease etiology

A

relative risk

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12
Q

The ratio of the probability of an outcome occurring in an exposed group to the probability of the outcome occurring in an unexposed group (exposed/unexposed)

A

Relative risk (risk ratio)

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13
Q

What type of study uses relative risk?

A
  • Cohort studies
  • RCT
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14
Q

What kind of studies can NOT be used to calculate relative risk?

A

Case-control studies - they do not track participants over time so they cannot be used to calculate relative risk

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15
Q

R > 1 means

A

incidence of disease is higher in the exposed group so exposure INCREASES risk of outcome

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16
Q

R < 1 means

A

incidence of disease is lower in the exposed group so exposure DECREASES the risk of outcome

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17
Q

Odds of exposure in individuals with disease divided by the odds of exposure in individuals without disease

A

Odds ratio (OR)

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18
Q

The probability of an event occurring divided by the probability of an event NOT occurring

A

odds

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19
Q

Used to measure the strength of an association between a risk factor an an outcome (odds of having the exposure in those with the outcome vs those without the outcome)

A

Odds ratio

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20
Q

What kind of studies use odds ratio?

A

Case-control studies

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21
Q

Formula for odds of exposure in individuals with disease (case group)

A

exposure in individuals with disease divided by no exposure in individuals with disease = a/c

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22
Q

Formula for odds of exposure in individuals without disease (control group)

A

exposure in individuals without disease divided by no exposure in individuals without disease = b/d

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23
Q

Formula for odds ratio

A

(a/c)/(b/d) = ad/bc = (a/b)/(c/d)

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24
Q

OR = 1 means

A

The outcome is equally likely in exposed and unexposed individuals

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25
OR > 1 means
The outcome is more likely to occur in exposed individuals
26
OR < 1 means
The outcome is less likely to occur in exposed individuals
27
What is the rare disease assumption?
The assumption that if the outcome (disease prevalence) is rare, the incidence of that outcome is low and the OR is approximately the same as the RR.
28
A measure of the effect of an intervention on an outcome at any given point in time during the study period
Hazard ratio
29
Used to help determine how long it takes for an event to occur in individuals in the case group, compared to the control group
Hazard ratio
30
HR = 1 means
no relationship
31
HR > 1 means
The outcome of interest is more likely to occur in exposed individuals
32
HR < 1 means
The outcome of interest is less likely to occur in exposed individuals
33
What are the estimates of population impact?
- attributable risk - relative risk reduction - absolute risk reduction - number needed to treat - number needed to harm
34
The absolute risk attributable to exposure in the exposed group calculated as incidence rate in the exposed group - incidence rate in the unexposed group
Attributable risk
35
Used to measure the excess risk of an outcome that can be attributed to the exposure (how much of the disease can be attributed to the exposure)
attributable risk (AR)
36
Formula for attributable risk (AR)
a/(a+b) - c/(c+d)
37
The difference in risk attributable to an exposure as compared to non-exposure (risk in non-exposed group - risk in exposed group)
Absolute risk reduction (ARR)
38
Used to show the risk without treatment as well as the risk associated with treatment
absolute risk reduction (risk difference)
39
What kind of studies use absolute risk reduction?
- cohort studies - cross sectional studies - clinical trials
40
Formula for absolute risk reduction (ARR)
c/(c+d) - a/(a+b)
41
Measure of risk that refers to proportion of decreased risk due to an intervention compared to the control group
Relative risk reduction (RRR)
42
Used to determine how much the treatment reduces the risk of negative outcomes
relative risk reduction (RRR)
43
Formula for relative risk reduction (RRR)
1-RR
44
Relative risk reduction is used in what kind of studies?
- cohort studies - cross-sectional studies
45
Measure of risk that refers to the number of individuals that must be treated in a particular time period for one person to benefit from treatment
Number needed to treat (NNT)
46
Used to compare the effectiveness of different treatments
number needed to treat
47
Formula for NNT
1/ARR
48
What kind of studies use NNT?
clinical trials
49
Measure of risk that refers to the number of individuals who need to be exposed to a certain risk factor before one person develops disease or injury
Number needed to harm (NNH)
50
Formula for NNH
1/AR
51
Used to determine the potential harms of an intervention
NNH
52
What kind of studies use NNH?
clinical trials
53
The proportion of individuals WITH the disease who actually test positive (true positive rate)
sensitivity
54
The proportion of individuals WITHOUT the disease who actually test negative (true negative rate)
Specificity
55
A test with a high ____ can be used to confirm the diagnosis.
specificity
56
A test with a high ____ can be used to screen for a disease.
sensitivity
57
Formula for Sensitivity
TP/(TP+FN)
58
Formula for Specificity
TN/(FP+TN)
59
Formula for positive predictive value (PPV)
TP/(TP+FP)
60
Formula for negative predictive value (NPV)
TN/(TN+FN)
61
The probability that a patient has a specific disease before the result of the test is known.
Pretest probability
62
A higher pretest probability ___ the NPV and ___ the PPV.
decreases; increases
63
A lower pretest probability ____ the NPV and ___ the PPV.
increases; decreases