Measures Of Association Flashcards

1
Q

What is the difference between sensitivity and specificity?

A

Sensitivity = ability to correctly identify those who actually have the disease (true positive)

Specificity = ability to correctly identify those who actually do NOT have the disease (true negative)

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2
Q

What is the difference between incidence rate and prevalence?

A

Incidence rate = # NEW cases of disease in a given time period

Prevalence = TOTAL # of cases of disease in a given time period

(Ie. If prevalence is the overall % pts with disease, incidence rate is inflow % of new pts with disease)

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3
Q

What is the difference between relative risk and attributable risk?

A

Relative risk = the ratio of the risk of disease in exposed individuals to the risk of the disease in unexposed individuals

Attributable risk = the proportion of disease incidence or risk that can be attributed to a specific exposure

TLDR: RR = focuses on the strength of the association between exposure and outcome, AR = focuses on the proportion of diseases in the exposed group that can be attributed to the exposure.

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4
Q

Define attack rate

A

of people exposed who got disease

—————————————————-
Total # of people exposed

measure of morbidity

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5
Q

Define mortality rate

A

The # of deaths from a cause in a specific population in a specific time frame

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6
Q

Define standardization, what is the difference between direct and indirect standardization?

A

Set of techniques used to remove the effects of intersubject variability when comparing ≥2 populations

Direct: Outcomes if the populations had the same age distributions as a standardized population

Indirect: compares rate of disease observed in populations to EXPECTED rate in standard population

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7
Q

Define “population-attributable risk”

A

The attributable risk for an ENTIRE population regardless of whether or not everyone was exposed
AKA = what is the impact of removing the exposure on the total population?

Ie. PAR% = 12% then making all people stop [exposure] would eliminate 12% of all [disease] in the population

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8
Q

Define number needed to treat (NNT)

A

Number of patients needed to treat in order to produce one BENEFICIAL outcome
Aka = lower number is better

Ie. Need to treat X people with drug to cure 1 person

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9
Q

Define number needed to harm (NNH)

A

Number of patients who receive treatment before one ADVERSE EFFECT occurs
Aka = higher number is better

Ie. Treated X people with drug before 1 person got [AE]

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10
Q

What is the equation for calculating SENSITIVITY?

A

(True positive)
———————————————
(True positive) + (False Negative) [aka all positives]

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11
Q

What is the equation for calculating SPECIFICITY?

A

(True negative)
———————————————
(True negative) + (False positive) [aka all negatives]

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12
Q

What is morbidity and what terms can describe it?

A

Morbidity = rate of disease in a population
Described by:
- cumulative incidence proportion
- Incidence rate
- Prevalence
- Attack rate

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13
Q

What is relative risk/risk ratio?

A

Ratio of the risk of disease in exposed individuals to the risk of the disease in unexposed individuals
- RR < 1: negative association/possible protective
- RR > 1: positive association/possible causal exposure

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14
Q

Compare RR vs OR

A

RR: compares subjects who got disease w/ exposure to total exposures vs subjects who got disease w/o exposure to total non-exposures

OR: compares all “expected” outcomes vs all “unexpected” outcomes (expected being exposure = disease, non-exposure = no disease)

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15
Q

What is the RR calculation?

A

[(exposed&disease)/(total exposed)]
—————————————————————
[(non-exposed&disease)/total non-exposed)]

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16
Q

What is the OR calculation?

A

(Exposed&disease) x (non-exposed&no disease)
——————————————————————
(Exposed&no disease) x (non-exposed&disease)

17
Q

What is the general equation for attributable risk?

A

AR = risk exposed - risk unexposed
Ie. If AR% = 85%, then 85% of [disease] is caused by [exposure]

18
Q

What is a hazard ratio?

A

The rate at which an unfavorable event occurs, used in survival analyses

19
Q

How should confidence intervals be interpreted? Do we want WIDE or NARROW confidence intervals?

A

Describes the reliability of study to reflect the entire population
- Confidence Interval is range of accurate:
WIDE = low precision, less credibility
NARROW = higher precision, more credibility
If range INCLUDES 0, then NOT statistically significant