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DCAF, 
Thanks to all. I think incorporation bias captures the concept best.  It is more precise than the more general selection bias. Interestingly, I could not find this term in one of the proposed classifications of bias Delgado-Rodríguez M, Llorca J. Bias. J Epidemiol Community Health. 2004;58(635-641).
Kev

Dr Kev (Kevork) Hopayian, 
MD FRCGP
General Practitioner,  Suffolk,
General Practice Trainer,
Hon Sen Lecturer, Norwich Medical School, University of East Anglia
Primary Care Tutor, East Suffolk
RCGP Clinical Skills Assessment examiner
NHS Senior Appraiser, East Anglia
RCGP International Adviser
http://www.angliangp.org

> On 7 Mar 2016, at 14:29, Mayer, Dan <[log in to unmask]> wrote:
> 
> I would call it incorporation bias.  It is similar to the use of a test to define the illness and then measuring the sensitivity of the test.
> 
> Dan
> From: Evidence based health (EBH) [[log in to unmask] <mailto:[log in to unmask]>] on behalf of Zbys Fedorowicz [[log in to unmask] <mailto:[log in to unmask]>]
> Sent: Monday, March 07, 2016 8:33 AM
> To: [log in to unmask] <mailto:[log in to unmask]>
> Subject: Re: Name that bias
> 
> A priori selection bias
>  
> Prof Zbys Fedorowicz
> Director 
> The Bahrain Branch of the UK Cochrane Centre
> The Cochrane Collaboration
> For information on the Bahrain branch see: http://bahrain.cochrane.org/en/index.html <http://bahrain.cochrane.org/en/index.html>
>  
>  
>  
> From: Evidence based health (EBH) [mailto:[log in to unmask] <mailto:[log in to unmask]>] On Behalf Of Brian Alper MD
> Sent: Monday, March 07, 2016 2:12 PM
> To: [log in to unmask] <mailto:[log in to unmask]>
> Subject: Re: Name that bias
>  
> Sounds like Selection bias.
>  
> Brian S. Alper, MD, MSPH, FAAFP
> Founder of DynaMed
> Vice President of Innovations and EBM Development
> www.dynamed.com <http://www.dynamed.com/>, health.ebsco.com <http://health.ebsco.com/>
> Twitter: @BrianAlperMD
>  
> USEFUL make it before DynaMed you call it ... https://www.linkedin.com/pulse/useful-brian-alper <https://www.linkedin.com/pulse/useful-brian-alper>
>  
>  
> From: Evidence based health (EBH) [mailto:[log in to unmask] <mailto:[log in to unmask]>] On Behalf Of Kev Hopayian
> Sent: Monday, March 07, 2016 4:39 AM
> To: [log in to unmask] <mailto:[log in to unmask]>
> Subject: Name that bias
>  
> Hi,
> I have sometimes seen cross-sectional studies where a variable (e.g. hyperglycaemia) is one of the inclusion criteria for a study of the prevalence of the same variable in a population (e.g. metabolic syndrome). Not surprisingly, the prevalence would be 100%. Does this self-fulfilling selection bias have a specific name?
>  
>  
> Dr Kev (Kevork) Hopayian, 
> MD FRCGP
> General Practitioner,  Suffolk,
> General Practice Trainer,
> Hon Sen Lecturer, Norwich Medical School, University of East Anglia
> Primary Care Tutor, East Suffolk
> RCGP Clinical Skills Assessment examiner
> NHS Senior Appraiser, East Anglia
> RCGP International Adviser
> http://www.angliangp.org <http://www.angliangp.org/>
> Dr Kev (Kevork) Hopayian, 
> MD FRCGP
> General Practitioner,  Suffolk,
> General Practice Trainer,
> Hon Sen Lecturer, Norwich Medical School, University of East Anglia
> Primary Care Tutor, East Suffolk
> RCGP Clinical Skills Assessment examiner
> NHS Senior Appraiser, East Anglia
> RCGP International Adviser
> http://www.angliangp.org <http://www.angliangp.org/>
>  
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