FCM - Research Design 1: Observational

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64 Terms

1
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Cases vs controls

What does a case control study compare?

2
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Outcome to exposure

Direction of inquiry in a case control study.

3
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False

T/F: Case control studies start with exposure and follow for outcome.

4
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Odds ratio

Main measure of association in a case control study.

5
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Rare diseases

When are case control studies most useful?

6
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1:4

Optimum ratio of cases to controls.

7
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Hospitals

Source where hospital-based cases come from.

8
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Matching

What ensures comparability between cases and controls?

9
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False

T/F: Controls must be unrelated to the source population of cases.

10
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Interview (Medical records)

Method used to determine exposure status.

11
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False

T/F: Different methods may be used for cases and controls.

12
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AD/BC

Mathematical formula for odds ratio.

13
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None

Odds ratio of 1 indicates what type of association?

14
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Causative association

Odds ratio greater than 1 indicates what?

15
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Preventive association

Odds ratio less than 1 indicates what?

16
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Selection bias

Common bias when selection differs between groups.

17
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Recall bias

Common bias when recall differs between groups.

18
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False

T/F: Case control studies are expensive and time-consuming.

19
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Disease patterns

What does descriptive research aim to describe?

20
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Magnitude, distribution

Two bases for descriptive research.

21
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False

T/F: Descriptive studies are used to test hypotheses.

22
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Case report

Simplest form of descriptive research.

23
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Single patient

Unit of observation in a case report.

24
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No association testing

Main limitation of a case report.

25
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Case series

What study collects several related case reports?

26
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Epidemic

What can a case series help identify early?

27
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False

T/F: Case series includes a comparison group.

28
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Ecologic study

Study type measuring population-level associations.

29
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Population

Unit of measurement in an ecologic study.

30
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Ecologic fallacy

Error when applying population data to individuals.

31
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False

T/F: Ecologic studies establish causation.

32
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Present time

Direction of inquiry in a cross-sectional study.

33
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Prevalence study

Other name for cross-sectional study.

34
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False

T/F: Cross-sectional studies measure incidence.

35
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Prevalence data

What type of data do cross-sectional studies generate?

36
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Prevalence ratio

Measure of association in cross-sectional study.

37
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Prevalence ratio

What formula is this: (A/A+B) ÷ (C/C+D)?

38
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None

PR = 1 means what type of association?

39
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Positive

PR > 1 means what association?

40
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Protective

PR < 1 means what association?

41
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False

T/F: Cross-sectional studies can determine causality.

42
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Fast

Advantage of cross-sectional studies in terms of time.

43
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Temporal ambuguity (No incidence)

One major limitation of cross-sectional studies.

44
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Exposure status

What is a cohort study based on?

45
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Exposure

Starting point of a cohort study.

46
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Prospective or retrospective

Time element of a cohort study.

47
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Relative risk

Primary measure of association in a cohort study.

48
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Exposure to outcome

Direction of inquiry in a cohort study.

49
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Cohort study

Study with highest level of observational evidence.

50
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False

T/F: Cohort studies begin with diseased participants.

51
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Select exposed

First step in conducting a cohort study.

52
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Select unexposed

Second step in conducting a cohort study.

53
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Internal comparison

Type of exposure group from same cohort.

54
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External comparison

Type of comparison using a different population.

55
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False

T/F: Unexposed group must differ in every aspect.

56
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Relative risk

What formula is this: (A/A+B) ÷ (C/C+D)?

57
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No association

RR = 1 means what?

58
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Causative

RR > 1 indicates what?

59
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Protective

RR < 1 indicates what?

60
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Clear cause-effect

Key advantage regarding temporality.

61
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Recall bias

Bias avoided in cohort studies compared to case control.

62
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Attrition (Expensive)

One disadvantage regarding follow-up.

63
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Diagnostic changes

Factor complicating long-term studies.

64
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True

T/F: Cohort studies can examine multiple outcomes.