test 1 Flashcards

1
Q

studies that document and communicate

A

descriptive studies

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2
Q

studies that compare groups

A

explanatory studies

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3
Q

randomization by authors does not occur it what type of study

A

observational

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4
Q

strengths of observational studies

A
  • study human exposure without inferring from animals

- no ethical conflicts

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5
Q

weaknesses of observational studies

A
  • exposures are not random

- natural experiments are usually not reproducible

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6
Q

main source of bias in observational studies

A

confounding bias

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7
Q

features of cohort study

A
  • investigators don’t choose allocation, “natural”
  • subjects identified by exposure
  • forward in time
  • compares to patients without exposure
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8
Q

approach to doing cohort study

A
  • identify population
  • exclude individuals with outcome of interest
  • classify by exposure
  • follow forward in time
  • compare exposed vs unexposed
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9
Q

other names used for cohort study

A

follow-up (one to know)

prospective

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10
Q

strengths of cohort studies

A
  • best study design
  • strongest causal link of observational designs
  • you can calculate prevalence and incidence
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11
Q

weaknesses of cohort studies

A
  • can be expensive
  • not as efficient for rare outcomes
  • must account for variable follow up time
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12
Q

defining features of case-control studies

A
  • investigators don’t choose allocation, “natural”
  • subjects identified by disease status
  • direction is backward in time
  • contrast between pts with vs without the outcome
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13
Q

approach to case-control study

A
  • identify pts with disease
  • identify controls w/o disease
  • go back in time to compare exposures
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14
Q

strengths of case-control studies

A
  • more efficient for studying rare outcomes

- can add new risk factors to evaluate at any time

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15
Q

weaknesses of case-control studies

A
  • no denominator

- selection of controls must be relevant

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16
Q

cross-sectional defining features

A
  • investigators don’t control treatment allocation

- classification of exposure and outcome are done at the same time without regard to temporal sequence

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17
Q

4 key questions to determining study design

A
  1. are there comparisons made
  2. do investigators control allocation groups
  3. are exposure and outcome measured at the same or different times
  4. did investigators compare/contrast by exposure or outcome
18
Q

equation for risk ratio

A

(a/(a+b))/(c/(c+d))

19
Q

equation for rate ratio

A

(a/PY(e)) / (c/PY(u))

exposed
unexposed

20
Q

when should we adjust estimates

A

for any factors that vary between the groups and that affect the relationship the exposure and outcome

21
Q

selection bias

A

error in patient selection that makes the sample population not representative of the general population

22
Q

information bias

A

error in measurement of exposure or outcome that distorts the true estimate of effect

23
Q

confounding

A

error that results from misattribution of causal effects

24
Q

two broad types of error in studies

A

random

systemic

25
Q

random error is dealt with using

A

statistics

26
Q

systematic error is dealt with by

A

reducing bias

27
Q

error that diminishes as sample size increases

A

random

28
Q

error that does not diminish as sample size increases

A

systematic

29
Q

the 2 categories of information bias

A

differential

nondifferential

30
Q

examples of differential information bias

A

recall bias

diagnostic bias

31
Q

example of nondifferential information bias

A

if a person drinks red wine and smokes gets emphysema you could say red wine leads to emphysema, even though it doesn’t

32
Q

3 things needed to be a confounder

A
  1. must be associated with exposure
  2. must be a cause of the outcome
  3. must not be on the causal pathway
33
Q

surrogate confounder

A

factor that serve as indicators of the true underlying confounding factor

34
Q

residual confounding

A

when confounder is identified and controlled for, but its not completely characterized by the study

35
Q

unmeasured confounding

A

when the factor is unmeasured or unknown

36
Q

recall bias

A

misclassification of the exposure due to faulty memory

37
Q

diagnostic bias

A

misclassification of the outcome due to differential diagnosis depending on exposure

38
Q

channeling bias

A
  • confounding

- differences in disease severity lead to patients receiving different treatments

39
Q

study design methods to deal with confounding

A
  • restriction
  • stratification
  • matching
40
Q

differential bias

A

error in classification is different between groups in a way that is associated with the study variable

41
Q

nondifferential bias

A

error in classification that is not different between groups in a way associated with outcome

42
Q

Common sources of confounding bias

A
  • demographics (age, gender, insurance status, etc)
  • disease severity
  • comorbid conditions
  • unmeasured confounders