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Functional anatomy of the atrial pacemaker complex has been extensively studied in mouse models of sick sinus syndrome.
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Only workers were included in the models on sick leave.
To our knowledge, a multistate model on sick leave data has not earlier included this amount of possible outcomes.
Table 3 shows four multivariate logistic regression models with different levels of sick days as response variables.
The models for parameter 1 (number of sick leave days on the first sickness certificate), parameter 6 (duly completed certificates) and parameter 7 (acceptable certificates) were the strongest models, with an R of approximately 30%, while the model for parameter 2 (face-to-face contacts) had an R of 15.6%, which indicated relative strength.
Age group was the most significant variable in the model for parameter 1 (number of sick leave days on the first sickness certificate).
Sick leave during this period was predicted in a multivariable model by a longer duration of sick leave prior to consultation, more shoulder pain, a perceived cause of strain or overuse during regular activities, and co-existing psychological complaints.
The Count component is a prediction of Sick days, and models 1 4 show the varying associations that follow from different sets of independent variables.
The second model was established by transferring serum of sick KRN mice into healthy B6 mice, which induces synovial polymorphonuclear cells and macrophage infiltration by arthritogenic immunoglobulins [ 18, 26, 33].
I went on the job because one of the two models got sick, and the other one was Claudia Schiffer.
Figure 3 displays the various associations between age and number of sick days in the preceding regression models.
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