Tim Churches wrote:
> Thomas Beale wrote:
>   
>> Concerning my last reply on this subject,
>>
>> I feel the appropriate solution is:
>> * add an attribute value_qualifier of type STRING with allowable values
>>     
>>> , <, >=, <=, = (since this is a closed list, using coded terms doesn't
>>>       
>> seem to be useful)
>> * allow ELEMENT.null_flavour and DV_QUANTIFIED.accuracy to be used to
>> cover Vince's Inaccurate (probably wrong) and '~' (slightly inaccurate,
>> but usable value) cases respectively. In the latter case, it seems to me
>> that if accuracy is going to be reported, it should be quantified, the
>> way we do it in openEHR, i.e. +/- 5%, +/-2 and so on. Vince - am I being
>> unreasonable? Did you have '~' because labs devices output this?
>>     
>
> If you are going to capture error limits around a scalar quantity, then
> you need to also capture the nature of those limits. Sometimes they are
> simply co-efficients of variation, sometimes one or two (or 1.96)
> standard deviations (as frequentist confidence intervals for normally
> distributed data, or asymptotically normal confidence limits for
> non-normally distributed data), sometimes they are non-normal confidence
> limits, and occasionally (but often with clinical trials etc) they are
> Bayesian credible intervals. Then there is the confidence level - often
> 95% but sometimes 99%, sometimes less. Will the proposed solution cover
> these and other scenarios?
>   
Hm....that's a good question. Currently the model (see 
http://www.openehr.org/uml/Browsable/_9_0_76d0249_1109599337877_94556_1510Report.html)
 
only captures limits as either a +/- percent, or as a +/- absolute value 
(see the accuracy attributes in the diagram) - it does this via the 
attribute accuracy_is_percent which is just a Boolean. What you are 
asking for would be accommodated by making it a code which indicated the 
meaning of the accuracy band.

So far we have not had such requirements expressed for the openEHR 
models, but as I happen to know you are coming form an 
epidemiological/public health/statistical point of view, clearly we need 
to accommodate them.

Tim, if the accuracy_is_percent attribute was upgraded to a coded value, 
could you suggest a set of meanings that would cover all the epi/PH needs?

- thomas


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