pubhlth 206a week 6: sources of error

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22 Terms

1
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study designs

  • each offer diff advantages & disadvantages for valid group comparisons

  • trade-offs b/w feasibility (cost, ethics, time, etc.), & validity impacts what study design is best used

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internal validity

do the observed results accurately reflect the true association?

3
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external validity (generalizability)

  • to whom can results be applied

  • requires internal validity

4
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**NOTES**

  • if a study lacks internal validity, external validity is irrelevant

  • we don’t compromise internal validity in an effort to achieve external validity (generalizability)

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type of sources of errors

random & systematic

6
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systematic error

  • selection bias

  • informaiton bias

  • confounding

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error due to chance

  • random error

  • dots are spread out

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error due to recognizable source

  • systematic error

  • dots are clustered

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bias definition

systematic error in design or conduct of study that leads to incorrect estimate of association

10
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bias sources

  • can be caused by investigator or study participants during design or conduct of study

  • can occur in experimental, cohort, case-control, cross-sectional, & ecological studies

  • not inherent characteristic of the study population

  • few studies have no bias or errors

11
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bias effects

  • create appearance of an association when there is none, or mask an association that really exists

  • selection bias & information bias cannot be fixed in the analysis; confounding can be fixed to a point

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bias solution

  • limit in study design & study conduct

  • critically evaluate after study has been completed, & discuss its effect

    • discuss:

      • bias type & sources

      • direction

      • magnitude

      • impact on study results & impact on study interpretation

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direction of bias: towards the null

  • positive & preventive association is biased TOWARDS the null

  • true association is UNDERESTIMATED

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direction of bias: away from the null

  • positive & preventive association is biased AWAY from null

  • true association is OVERESTIMATED

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feasibility

cost, ethics, time, etc.

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fundamental goal of study designs

  • estimate the truth

  • study samples allow us to estimate the truth among everyone

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random and systematic error combo?

possible to have both source of errors

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selection & information bias combo?

possible to have both types of bias

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types of bias

  • selection bias

  • information bias

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selection bias

WHO is in the 2×2 table

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information bias

WHERE in the 2×2 table

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summary

  • validity & feasibility determine what type of study design to
    pursue

  • internal validity: do the observed results accurately reflect the true
    association?

  • sources of error in estimating the truth: random & systematic error

  • 3 types of systematic error or bias: confounding, selection bias, & information bias

  • direction & relative extent of bias (over- or under-estimate true association