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This larger proportion of older participants is consistent with that identified in other general practice datasets [ 7].
In practice, datasets used in risk model development often contain few events compared with the number of candidate predictors, particularly when the event of interest is rare.
Although EudraVigilance too is examined regularly the other major sources of safety data, clinical practice datasets, are only sporadically analyzed in response to hypotheses and hence are more likely to provide surprise results.
In addition, participants were linked to local commissioning datasets on visits to emergency departments, which included all visits to emergency department and not just those that resulted in an admission, and to general practice datasets.
As part of a programme of research on leukaemia using general practice datasets we set out to quantify the incidence of and mortality from leukaemias in the UK, and the variation of these with gender, age, calendar time and socio-economic status.
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Whereas the information provided in Dataset One seemed to reflect a concern with advocacy, the presentation of 'scientific evidence' and 'best practice', Dataset Two was characterized more by the presentation of factual information about the current status of ECCE within individual countries.
Setting Health improvement network database (1988-2003), a longitudinal UK general practice dataset.
The model was then applied to the GP practice dataset to estimate the total diabetes prevalence for the GP practice population in each relevant SA1.
No significant differences in participant's sex was observed when compared to a larger Australian general practice dataset (BEACH), which included 95,839 patient encounters recruited by 958 GPs [ 7].
Only 1.5% of the group with incomplete data were diagnosed with diabetes, meaning that the final sample has a higher level of diagnosis than the clinical group over; this prevalence was 9.5% when the patients with incomplete data were removed from the GP practice dataset.
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