Epidemiology Flashcards

(50 cards)

1
Q

PICO

A
  • population
  • intervention
  • comparison (or control group)
  • outcome
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2
Q

A period of inactivity between stimulation and response

A

latency period

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3
Q

In clinical studies, what must be considered to ensure adequate long-term follow up duration?

A

latency period

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4
Q

A type of study that divides participants into a group that receives an intervention and a group that does not receive an intervention

A

clinical trial

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5
Q

A type of study that divides participants into a group that has had an exposure and a group that has not had an exposure

A

cohort study

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6
Q

A type of study that divides participants into a group that has a particular outcome and a group that does not have the outcome

A

case-control

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7
Q

The group in a clinical trial that do NOT receive the intervention

A

control group

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8
Q

The group in a case-control study that do NOT have the outcome being studied

A

control group

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9
Q

An observational study that looks at disease PREVALENCE in exposed vs not exposed groups at a specific point in time.

A

cross-sectional study

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10
Q

An observational study that looks at exposure PREVALENCE in those with disease and those without disease.

A

case-control study

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11
Q

An observational study that looks prospectively at the outcome INCIDENCE in exposed and not-exposed groups.

A

prospective cohort study

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12
Q

An observational study that looks retrospectively, using medical record review, at the outcome incidence in exposed and not exposed groups.

A

retrospective cohort study

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13
Q

An experimental study that looks at the outcome in an intervention group compared to a control group

A

randomized controlled trial

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14
Q

Study that uses odds ratio to determine if an exposure is associated with an outcome

A

case-control study

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15
Q

This type of study can be prospective or retrospective

A

cohort study

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16
Q

This study generally examines a small population group over a short period of time (less cost) and evaluates the association between multiple exposures and one outcome

A

case-control study

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17
Q

This study generally examines a large population over a long period of time (more cost) and determines how one exposure is associated with multiple outcomes

A

cohort study

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18
Q

In cohort studies, the study sample is selected based on

A

exposure to a risk factor

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19
Q

The study that selects the sample according to having a disease or not, then determining which participants were exposed to a risk factor.

A

Case-control study

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20
Q

Gold standard study for testing interventions

A

Randomized controlled trials

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21
Q

Study participants do not know whether they are part of the control or treatment group

A

single-blind study

22
Q

Neither the researchers not the study participants know which study participants are part of the control group or part of the treatment group

A

Double-blind study

23
Q

Neither researchers, participants or data analysts know which study participants are part of the control group or the treatment group.

A

Triple-blind study

24
Q

The gold standard for blinding when studying treatment outcomes.

A

Double-blind study

25
An experimental study design in which each participant switches from the intervention group to the control group or vice versa WITH a washout period.
Crossover design
26
An experimental study design in which multiple interventions are studied simultaneously by assigning participants to various combinations of interventions and placebo.
Factorial design
27
An experimental study design in which the unit of randomization is a group rather than an individual participant.
Cluster design
28
Study participants are analyzed according to the group they were orginially randomized, regardless of whether they actually received the intervention or dropped out of the study.
Intention-to-treat analysis.
29
Intention to treat analysis helps reduce what kind of bias?
Selection bias
30
Intention to treat analysis is susceptible to what type of error?
Type II error - including patients who did not adhere to treatment can weaken the effect size and make the treatment appear less effective.
31
Investigation of the heterogeneity of results in a study or recognizing significant discrepancies or similarities in the treatment outcome among different subgroups of patients
Subgroup analysis
32
This type of study is conducted to increase statistical power and achieve more precise results
Meta-analysis
33
Validity of a study is limited by:
- high random errors - biases - confounding
34
Error that occurs due to chance and/or limitations of precision
Random error
35
Random error can be reduced by:
Repeated measurements and averaging over a large number of observations
36
An error in the study design or the way in which the study is conducted that causes systematic deviation of findings from the true value.
Systematic error (bias)
37
Bias where individuals in the sample group are not representative of the population from which the sample is drawn because sampling or treatment allocation is not random
Selection bias
38
Bias that occurs when certain individuals are more likely to be selected for study group, resulting in a non-random sample.
Sampling bias (ascertainment bias)
39
A type of non-response bias of selective loss of participants to follow up (different prognosis)
Attrition bias
40
A type of bias where individuals in sample groups are drawn from a hospital population and are more likely to be ill than individuals in the general population
Berkson bias (bedside bias)
41
Type of performance bias in which subjects change their behavior once they are aware that they are being observed.
Hawthorne effect
42
This bias occurs when patients or investigators decide on the assignment of treatment and this affects the findings; subjects in the treatment group spend more time and have highly specialized care compared to the control group.
Procedure bias
43
A type of bias in which awareness of a condition by subjects changes their recall of related risk factors or recall of a certain exposure
Recall bias
44
A bias in which the personal beliefs of study participants and/or investigators influence the results of the study
cognitive bias
45
A type of cognitive bias in which the measurement of a variable or classification of subjects in influenced by the researcher's knowledge or expectations.
Observer bias or observer-expectancy bias (pygmalion effect)
46
Any third variable that is associated with the exposure and the outcome by is not on the causal pathway between exposure and outcome
confounder
47
This group of bias occurs during the analysis of the results phase of the study and multiple variables act as confounders, distorting the effect between the exposure and outcome of interest
Confounding bias
48
What are some ways to minimize confounding in study design?
- randomization - cross-over study design - matching study participants
49
This type of bias occurs in studies with screening tests when during the survival analysis, the survival time is overestimated because of early diagnosis through screening rather than reflecting an actual delay in mortality
Lead time bias
50
A type of bias in which survival time is overestimated because screening tests have a higher probability of detecting slowly progressive cases which have a longer asymptomatic phase and better prognosis than rapidly progressive cases
Length-time bias