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Table 4 Predicted probability and expected number of visits by class Prob.
where μ is the intensity parameter or the expected number of visits by a patient and y is the number of visits by patient within an episode of illness.
Hence during high-volume days, such as Sundays, these models underestimate the expected number of visits.
Compared to the sterile urine group the expected number of visits for symptomatic UTI in the confirmed ASB group is increased by a factor of 2.5 (95% CI 1.4 to 4.5, p < 0.005).
In particular, we have observed that in GPs holding a more than expected number of visits with patients, higher prescribing costs or a lower referrals rate is associated with higher rates of preventable admissions.
We develop an outbreak detection method, called the expectation-variance model, based on generalized additive modeling to achieve a constant specificity by accounting for not only the expected number of visits, but also the variance of the number of visits.
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The channel model contains both sources and sinks as boundary and reports the expected numbers of visits to any network node from random walks originating at sources and terminating at sinks.
At the doctor level, once we had adjusted for morbidity and the other variables analysed, the risk of admission for ACSCs was higher in people seen by GPs with greater than expected numbers of visits by patients and prescribing costs and with lower rates of referrals than other doctors.
Unlike previous models, the model developed here accounts for changes with time of not only the expected number of ED visits, but also of the variance of the number of visits.
Table 5, the expected number of ANC visits of pregnant women from 9 month pregnancy periods for a seen sign of pregnancy complications is 1.2554 times more likely than the expected number of ANC visits for no seen sign of pregnancy complications while holding all other variables in the model constant.
Unfortunately, systematic methods for determining the expected number of (ED) visits on a particular day have not yet been well established.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com