Design Strategies and Statistical methods in Analytic Epidemiology Flashcards

(41 cards)

1
Q

Analytic studies

A

evaluate hypotheses about associations between exposure and outcome variables; attempt to answer why and how a health-related state or event occurred; have a comparison group

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2
Q

Observational exploratory study

A

researchers examine relationships between variables; useful for identifying cause-effect relationships

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3
Q

Observational analytic study

A

begins with a hypothesis and evaluates associations between exposure and outcome variables

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4
Q

Types of analytic observational studies

A

case-control studies
cohort
case-crossover
nested case-control

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5
Q

Incidence

A

new cases

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6
Q

Prevalence

A

existing cases

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7
Q

Case-control study

A

investigates the presence of a potential risk factor between cases and controls

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8
Q

Exposure status

A

collected in a similar manner between cases/controls to avoid bias

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9
Q

Measuring the association between exposure and outcome variables is

A

the appropriate measure of association to use as it depends on the nature of the data

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10
Q

Bias

A

systematic error in the collection or interpretation of epidemiologic data

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11
Q

Results in inaccurate over or under estimation of the association between exposure and outcome

A

bias

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12
Q

Types of bias in case-control studies

A

selection, observational, misclassification, confounding

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13
Q

Confounding

A

an outside factor is associated with a disease outcome and is independently linked with an exposure (age, sex, education level, smoking)

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14
Q

Controlling for bias

A

matching

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15
Q

Matching

A

a strategy in which the distribution of potential confouding factors is forced to be similar between the cases and controls

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16
Q

2 types of selection bias in cohort studies

A

healthy worker effect, loss to follow-up

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17
Q

2 types of observation bias in case-control studies

A

recall, interviewer

18
Q

Recall bias

A

differential accuracy of recall about past exposure between cases (with disease) and controls (without disease)

19
Q

Interviewer bias

A

differential accuracy of exposure information due to the interviewer probing questions differently between cases and controls

20
Q

Misclassification

A

error in classifying exposure or outcome status

21
Q

Several variables considered as potential confounders

A

age, sex, educational level, smoking

22
Q

Confounder

23
Q

Strengths of Case-Control Studies

A

effective for rare outcomes; requires less time, money due to small size; yields the odds ratio (good estimate of relative risk)

24
Q

Bias

A

deviation of the results from the truth

25
Weaknesses of Case-Control Studies
limited to one outcome condition; does not provide incidence, relative risk, or natural history; less effective than a cohort study at establishing time sequence of events; potential recall and interviewer bias; potential survivor bias; does not yeild incidence and prevalence
26
Ratio for Case-Control studies
Odds Ratio (paired data)
27
Ratio for Cohort (attack rates)
Risk Ratio
28
Ratio for Case Crossover
Odds Ratio (unpaired data)
29
Ratio for Cohort (peron-time rates)
Rate Ratio
30
Prospective Cohort Study
goes forward in time; measures exposure status and association to an outcome
31
Retrospective Cohort Study
goes back in time; identifies a cohort with already available exposure and outcome data
32
Effect Modification
association between an exposure and disease outcome is changed by the level of an extrinsic factor
33
Selection bias
the selection of cases and controls based in some way on the exposure
34
Healthy worker effect
occurs in cohort studies when workers represent the exposed group, and a sample from the general population represents the unexposed group
35
Loss to follow up
occurs in cohort studies when researchers lose contact with study participants, resulting in unavailable outcome data on those people
36
Cases
with health-related state/event
37
Control
without health-realted state/event
38
Odds ratio
measures strength or association between exposure and disease variables
39
2x2 contigency table
commonly used to summarize the relationship between exposure and health outcome variables
40
What does the Odds ratio (OR) compare?
the odds of the disease among exposed individuals to the odds of disease among unexposed individuals
41
Observer bias
Misclassification of data because of differences in observer interpretation or expectations regarding the study