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We then constructed separate multivariable models for patient, provider, and visit characteristics.
This is extremely important in clinical practice, when using the models for patient counseling.
Models for patient decision-making extend from the paternalistic, to the shared and the informed model [ 23].
Existing models for patient autonomy [ 16- 19] envision a dyadic interaction between patient and physician, and so may not be suitable for the situation in Japan.
This shows the potential of the approach to use data of different gene expression studies to derive predictive models for patient subgroups where gene expression data is rare.
To address this, we controlled for possible confounding by including the proportion of acute care beds in high technology hospitals and adjusted our models for patient age and comorbidities.
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IDAC-Dose2.1 is created for diagnostic nuclear medicine reference dosimetry based on standardised anatomical and biokinetic models for patients.
And physicians and other health care professionals have begun serving as role models for patients by adopting environmentally responsible, energy- and waste-reducing practices in the health sector.
These instruments are based on the same conceptual models for patient-physician communication we referred to during our teaching seminar.
However, it is important to note that the degree of applicability of 1D models for patient-specific modeling remains at a pilot stage.
In multilevel models, for patient-level variables, the usual odds ratio interpretations apply for comparisons of patients within the same hospital; for example, a body mass index (BMI) effect may be interpreted as an odds ratio between a patient with BMI < 25 and a patient with BMI > 25 belonging to the same hospital and with the same covariates, except for BMI.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com