Epidemiology Flashcards

1
Q

Bradford Hill Criteria for Casuality

A
Strength of Association
Consistency
Temporality (exposure must precede occurrence)
Biological Gradient
Plausibility
Coherence
Analogy
Specificity
Experimental Evidence
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2
Q

Prevalence

A

Number of existing cases in a population exhibiting a disease or condition at a specified time or period
Point: proportion at a specific point in time
Period: proportion with pre-existing cases and new cases during period

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3
Q

Proportion

A

Dividing one quantity by another

Numerator included in the denominator

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4
Q

Incidence

A

Number of new cases of disease or condition which occur in a given time period in a population
Need initial and final examination
Cumulative: proportion of subjects under the study that get disease under observation

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5
Q

Ratio

A

Dividing one quantity by another

Numerator not in the denominator

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6
Q

Prevalence, ratio or proportion?

A

Proportion

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7
Q

Incidence, ratio or proportion?

A

Ratio

Except: cumulative incidence is proportion

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8
Q

Relative risk

A

Measure of association in cohort studies, incidence can be measured in them

How common disease is among those exposed

How many times more common or less common is measure of disease frequency in population

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9
Q

Interpret Relative Risk

A

RR = 1. (Null)
RR > 1. (Increases risk)
RR <1. (Decreases risk)

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10
Q

Odds Ratio

A

Measure of association in case-control and cross-sectional studies, indirect estimate of the relative risk

How common is exposure in those diseased

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11
Q

Odds ratio interpretation

A

OR = 1 (null)
OR > 1 (exposure common)
OR < 1 (exposure uncommon)

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12
Q

Attributable risk

A

Absolute risk difference or the percentage of cases due to a given exposure
How much does it actually do

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13
Q

Attributable proportion

A

Proportion of people who developed disease due to exposure

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14
Q

Bias

A

Systematic error in conduct of study leading to an incorrect association estimate, not valid

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15
Q

Selection Bias

A

Study groups are not comparable

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16
Q

Information bias

A

Difference in quantity and quality of information collected from study groups

17
Q

Confounding

A

The observed relationship between the dependent and independent variables is due to a third variable (the confounder)

18
Q

Counterfactual model

A

Comparing the experience of a population exposed to a factor with experience of same population at the same time but without the exposure

19
Q

Ways to control confounding

A

Randomization/restriction
Matching
Analysis

20
Q

Descriptive studies

A

General characteristics of distribution —> used in planning

Human subject study

21
Q

Types of descriptive studies

A

Case reports/series
Co-relational or ecologic
Cross-sectional

22
Q

Case reports/series

A

No controls so cannot ascertain causation

Look at what happened

23
Q

Co-relational or ecologic

A

Individual level exposure not available (study populations)

24
Q

Cross-sectional

A

Done at one point in time so temporality is not known, causation cannot be ascertained
Snapshot

25
Q

Cohort studies (risk rate)

A

Follow exposed and unexposed people over time
Observational
Subjects identified/classified on independent aka predictor variable

Prospective: follow subjects without disease (see if get)
Retrospective: both exposure/disease have occurred in past, follow lives

26
Q

Case control studies (odds ratio)

A

Identify people with disease and suitable non disease individuals as control, must be similar in most respects except that they do not have the disease
Study based on dependent (outcome variable)
Incidence cannot be measured
NEED to have the controls have the same exposure opportunity as cases
Retrospective

27
Q

Experimental studies/clinical trials

A

Researcher assigns exposure, highest level of epidemiological evidence
Blinding and randomization

28
Q

Reliability

A

Getting the same result

29
Q

Validity

A

Freedom form the systemic error such as bias

30
Q

Internal validity

A

The study was done without any methodological problems

31
Q

External validity

A

Study accurately reflecting events that would occur in real situation

32
Q

Meta-Analysis and Systematic Reviews

A

Studies of studies
Compares many studies together to provide highest level of evidence
Resolves uncertainty when reports disagree
Goals: limit bias, improve reliability, improve accuracy