BiasSyst

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    Competency to be gained

    from this lecturePrevent biases that may be avoided and

    understand the effect of others

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    Key elements

    Definition of biases Selection biases Information biases Controlling the effect of biases

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    Effect of misclassification

    !on"differential misclassification&sually reduces the strength of associationbet'een outcome and e#posure$(( or )( closer to *%Is not a sufficient reason to dismiss the results ofa study reporting an association

    Differential misclassification $bias%ay commonly increase the strength of the

    associationay also reduce the strength of the association

    Biases

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    Types of biases

    Selection biasesBiases in the 'ay sub-ects enter a study

    Information biasesBiases in the 'ay information is collected afterinclusion in a study

    Biases

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    .evel of operation of biases

    S y s t e m a t ic r e c r u i t m e n to f c a s e s / c o n t r o l s

    ' i t h s p e c i f ic e # p o s u r e s t a t u s

    S y s t e m a t i c c o l l e c t i o n o fi n f o r m a t io n l e a n i n g t o ' a r d s

    s p e c i f ic e # p o s u r e s t a t u s

    C o l l e c t i o n o f i n f o r m a t i o na b o u t e # p o s u r e

    I n c l u s i o no n t h e b a s i s o f o u t c o m e

    C a s e c o n t r o l

    S y s t e m a t ic r e c r u i t m e n to f e # p o s e d / u n e # p o s e d

    ' i t h s p e c i f ic r i s 0 o f o u t c o m e

    S y s t e m a t i c c o l l e c t i o n o fi n f o r m a t i o n l e a n i n g t o ' a r d s

    s p e c i f i c o u t c o m e s t a t u s

    C o l l e c t i o n o f i n f o r m a t i oa b o u t o u t c o m e

    I n c l u s i o no n t h e b a s i s o f e # p o s u r e

    C o h o r t

    T y p e o f s t u d y

    Selection biases

    Information biases

    Biases

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    Selection biases

    Type of study Inclusion into thestudySources of selection

    biases

    Case control )n the basis of

    outcome

    Selection of casesor controls 'ithspecific e#posurestatus

    Cohort )n the basis of

    e#posure

    Selection ofe#posed orune#posed 'ithspecific ris0

    Selection biases

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    E#amples of selection biases

    in a cohort study Sub-ects selected on the basis of e#posure )utcome not independently distributed

    among e#posed and une#posedSystematic selection of e#posed sub-ects 'ith1

    +igher ris0 of outcome .o'er ris0 of outcome

    Systematic selection of une#posed sub-ects 'ith1 +igher ris0 of outcome .o'er ris0 of outcome

    2 b

    c d

    a B

    c d

    a b

    c D

    a b

    C dSelection biases

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    E#amples of selection biases

    in a case control study Sub-ects selected on the basis of outcome E#posure not independently distributed

    among cases and controlsSystematic selection of case"patients 'ith1

    +igher fre3uency of e#posure .o'er fre3uency of e#posure

    Systematic selection of control"sub-ects 'ith1 +igher fre3uency of e#posure .o'er fre3uency of e#posure

    2 b

    c d

    a b

    C d

    a b

    c D

    a B

    c dSelection biases

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    Sources of selection biases

    Surveillance Screening / diagnosis 2dmission to health care facilities Selective survival !on"response / loss to follo' up

    Selection biases

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    Sources of selection biases

    SurveillanceSystematic notification of cases e#posed

    Screening / diagnosis 2dmission to health care facilities Selective survival

    !on"response / loss to follo' up

    Selection biases

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    Sources of selection biases

    Surveillance Screening / diagnosis

    Systematic case search among e#posed 2dmission to health care facilities Selective survival

    !on"response / loss to follo' up

    Selection biases

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    Sources of selection biases

    Surveillance Screening / diagnosis 2dmission to health care facilities

    Systematic admission of1 Case"patients e#posed / une#posed Control"sub-ects e#posed / une#posed

    Selective survival !on"response / loss to follo' up

    Selection biases

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    Sources of selection biases

    Surveillance Screening / diagnosis 2dmission to health care facilities Selective survival

    Systematic inclusion of cases 'ho survived and'ho may be more or less e#posed

    !on"response / loss to follo' up

    Selection biases

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    Sources of selection biases

    Surveillance Screening / diagnosis 2dmission to health care facilities Selective survival !on"response / loss to follo' up

    Systematic inclusion of sub-ects more li0ely toparticipate 'ho may be1 ore or less e#posed ore or less at ris0

    Selection biases

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    Information biases

    Type of study Collection ofinformationSources of

    information biases

    Case control 2bout e#posure

    Collection ofinformation leaningto'ards specifice#posure status

    Cohort 2bout outcome

    Collection ofinformation leaningto'ards specificoutcome status

    Information biases

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    E#amples of information biases

    in a cohort study Sub-ects selected on the basis of e#posure )utcome not independently measured among

    e#posed and une#posedeasurement of a higher incidence of outcome1 2mong e#posed 2mong une#posed

    easurement of a lo'er incidence of outcome1 2mong e#posed 2mong une#posed

    2 b

    c d

    a b

    C d

    a b

    c D

    a B

    c dInformation biases

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    E#amples of information biases

    in a case control study Sub-ects selected on the basis of outcome E#posure not independently measured among

    cases and controls 1easurement of a higher fre3uency of e#posure1 2mong cases 2mong controls

    easurement of a lo'er fre3uency of e#posure1 2mong cases 2mong controls

    2 b

    c d

    a B

    c d

    a b

    c D

    a b

    C dInformation biases

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    Sources of information biases

    (ecall Investigator Data 3uality Prevarication

    Information biases

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    Sources of information biases

    (ecallCases may recall e#posure more than controls

    Investigator Data 3uality Prevarication

    Information biases

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    Sources of information biases

    (ecall Investigator

    Systematic collection of information supportinge#pected conclusions

    &nconsciously Consciously

    ay be e#amined in the analysis Data 3uality Prevarication

    Information biases

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    Sources of information biases

    (ecall Investigator Data 3uality

    Better e#posure data available on casesBetter outcome data available on e#posed

    Prevarication

    Information biases

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    Sources of information biases

    (ecall Investigator Data 3uality Prevarication

    Systematic distortion of the truth by sub-ects

    Information biases

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    )ther limitations also

    referred to as biases Intervention biases

    !on"specific effect of interventions in a trial

    2nalysis biases!on"systematic statistical analyses

    Interpretation biasesInvestigators 'ith pre"conceived ideas

    Publication biases!egative studies do not get published

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    Chec0list to prevent biases 'hen

    preparing a protocol $*/4%*5 Is the sample representative,

    2re controls representative of the population

    from 'hich cases are dra'n,45 2re the e#posure and outcome criteria1

    Standardi6ed,Specific,

    Clear,7ell measured,2pplied consistently by trained field 'or0ers,

    Controlling biases

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    Chec0list to prevent biases 'hen

    preparing a protocol $4/4%85 Could e#posure status affect the probability

    to detect the outcome,

    95 Could outcome status affect the probabilityto recall the e#posure,

    :5 7hat 'ill be the proportion of response,;5 7hat 'ill be the proportion of

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    Discussing biases critically

    (evie' critically selection and informationbiases that are li0ely to have operated

    (evie' the potential effect of each of thesebiases $e5g5> under" or overestimation% (evie' 'hat can be done to address these

    biases a posteriori $e5g5> analysis plan%

    2naly6e possible summary effect of all thesebiases on the final results Interpret data in light of this summary effect

    Controlling biases

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    Ta0e"home messages

    +ave a strong design that prevents biases E#amine ho' sub-ects enter a study Collect information in a standardi6ed 'ay Prevent the biases you can avoid> understand

    those you cannot avoid