Design Strategies and Statistical methods in Analytic Epidemiology Flashcards

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

A

X

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
Q

Weaknesses of Case-Control Studies

A

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
Q

Ratio for Case-Control studies

A

Odds Ratio (paired data)

27
Q

Ratio for Cohort (attack rates)

A

Risk Ratio

28
Q

Ratio for Case Crossover

A

Odds Ratio (unpaired data)

29
Q

Ratio for Cohort (peron-time rates)

A

Rate Ratio

30
Q

Prospective Cohort Study

A

goes forward in time; measures exposure status and association to an outcome

31
Q

Retrospective Cohort Study

A

goes back in time; identifies a cohort with already available exposure and outcome data

32
Q

Effect Modification

A

association between an exposure and disease outcome is changed by the level of an extrinsic factor

33
Q

Selection bias

A

the selection of cases and controls based in some way on the exposure

34
Q

Healthy worker effect

A

occurs in cohort studies when workers represent the exposed group, and a sample from the general population represents the unexposed group

35
Q

Loss to follow up

A

occurs in cohort studies when researchers lose contact with study participants, resulting in unavailable outcome data on those people

36
Q

Cases

A

with health-related state/event

37
Q

Control

A

without health-realted state/event

38
Q

Odds ratio

A

measures strength or association between exposure and disease variables

39
Q

2x2 contigency table

A

commonly used to summarize the relationship between exposure and health outcome variables

40
Q

What does the Odds ratio (OR) compare?

A

the odds of the disease among exposed individuals to the odds of disease among unexposed individuals

41
Q

Observer bias

A

Misclassification of data because of differences in observer interpretation or expectations regarding the study