BIOL 437 Week Eight P.3 (Statistical Methods in Analytical Epidemiology) Flashcards

1
Q

double cohort

A
  • 2 distinct populations are invovled with different levels of an exposure of interest
  • employed when expsoure is rare and a relatively small number of people are affected
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2
Q

selecting the study cohort

A

-from population

>chose those at risk of becoming a case

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3
Q

exclude from study cohort

A
  • those who already have a disease outcome of interest
  • those not at risk
  • those with latent infections or recurring diseases
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4
Q

restriction

A
  • used to improve validity of study
  • selecting cohorts with limited exposure, narrow behaviours
  • need to come from population where sampling can be effectively conducted
  • limits generalization, but often improves feasibility and focus
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5
Q

bias in cohort studies

A
  1. Selection bias
  2. Confounding
    >more a concern in double cohort studies
  3. Misclassification
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6
Q

selection bias types

A
  1. Healthy worker effect
  2. Volunteer bias
  3. Loss to follow-up
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7
Q

healthy worker effect

A
  • when workers represent exposed group and sample from general population represents the unexposed
  • workers tend to be healthier on average than the general population
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8
Q

loss to follow-up

A
  • lose contact, resulting in unavailable outcome data
  • common problem
  • general rule: validity of study requires a loss of follow-up not exceeding 20%
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9
Q

reasons for loss to follow-up

A
  • refusal to participate
  • unable to locate
  • unable to be interviewed
  • death
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10
Q

confounding

A
  • more a problem in double-cohort studies

- can influence associates in both case-control and cohort studies

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11
Q

differential misclassification

A
  • related to exposure
  • if exposure classification influences differential accuracy in ascertaining outcome info
  • overestimates association
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12
Q

non-differential misclassification

A

-not related to exposure
-through inaccuracies in classifying exposure status
>occur similarly between exposed and unexposed
-underestimates association
-error affects both groups and can make them more similar

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13
Q

avoid healthy worker bias

A

-selecting a comparison group made up of workers, only unexposed

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14
Q

minimize misclassification

A
  • refine definition of exposed and unexposed

- avoid exposure classifications that result in differential outcome ascertainment

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15
Q

minimize loss to follow-up bias

A
  • restrict study to those likely to remain
  • collect personal identifying info
  • make periodic contact and provide incentives
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16
Q

control confounding at study design level

A

-restriction to avoid bias due to confounding
-in double cohort:
>choose comparisions as a like as possible to the exposed population

17
Q

control confounding at analysis level

A

-collect data on potential confounders at begining

>adjust through stratification and multiple regression techniques

18
Q

effect modification

A
  • when association between exposure and outcome is modified by the level of an extrinsic factor beyond random variation
  • may occur in cohort or case-cohort
19
Q

effect modifier

A

-extrinsic variable

20
Q

effect modification can influence

A

-relationship between variables in cohort and case-control data
>can influence OR, RR, and rate ratios

21
Q

confounding vs. effect modification

A
  • treated differently
  • control for confounding
  • present results from effect modificaiton
  • sometimes a variable can act as a confounder and an effect modifier
22
Q

effect-modifying variable

A
  • influences association between 2 other variables in an informative way
  • can be informative and meaningful
23
Q

if OR crude > OR1=OR2

A

-positive confounding

24
Q

if OR crude < OR1=OR2

A

-negative confounding

25
Q

OR1=OR2

A

-effect modification present