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28 Cards in this Set
- Front
- Back
- 3rd side (hint)
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what is stratified?
what is double blind ? |
stratified is broken down into groups by age, sex, age, ethnicity. we stratify what we find important.
double blind is a procedure in which the experimenter and the subjects dont know the controls, to protect from bias |
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necessary and sufficient
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one to one relationship
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necessary but not sufficient
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one needs the other to complete
A + B + C = Factor |
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sufficient but not necessary
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one or the other can complete the factor
A or B Or C |
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neither sufficient nor necessary
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A + B
C + D E + F need two factors to complete |
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Differential
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bias is focused on one group. usually stratified across groups.
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non differential
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bias is in the same amount for all four age groups
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random error
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error by chance alone
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systematic error
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error in the study design
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temporal
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a relationship between exposure and disease that had occured before
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strength
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association measured by RR
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strong = causal
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dose response
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a dose of risk increases, does its dose of disease increase ?
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dose to dose relationship
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replication
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consistent with other findings
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to replicate this must be adjusted or be
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biologic plausability
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coherence/ must work with modern biologic knowledge
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in your biology book that you cant refute
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consideration
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ruling out all/other explanations
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to consider
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cessation of exposure
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exposure goes down as factor disappears
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like the mcrib except exposure
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consistency
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consistent with other findings to be able to study.
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specificity
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is a disease specific with one type of disease
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selection bias
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an error in the design
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i go to the beach and study the relationship between people and lung cancer. i only study when their are events, rather than normal days
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** information bias
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subjects know or provide too much information
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** surveillance bias
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subjects know their being watched and may react differently
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like psychology's observation bias
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recall bias
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a remember effect. asked to recall but provides other than at present information
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cant remember the shyt
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detection bias
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a bias that changes because the follow up was more intense
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measurement bias
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data collection different from true value
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confounding bias
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one factor missing not include that effects the other two factors to become biased
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interaction bias
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how the study is approached when and how? to create bias
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precision
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reliability of experiment
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accuracy
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how close the results are to the actual true value
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