Physiological variables that are continuous in reality are continuous in the model (e.g., blood pressure and glucose levels), time is continuous, symptoms are driven by underlying variables, tests measure underlying variables, treatments affect underlying variables, and outcomes are determined by the progression of the variables.
3: Calculation of a probability curve for the occurrence of HCH in one or more months during the study period based on the linear progression of the variables for age, serum hemoglobin, albumin, creatinine, ALT and eGFR demonstrated significance at p < 0.005.
Other baseline variables associated with differential FVC levels did not predict progression of this variable over time in 3-year or long-term follow-up analyses.
This was because their position on the progression of use variable was unknown.
Following the complementary principle and non-complementary principle, the catastrophe progression of each control variable can be computed from the initial fuzzy subordinate function.
The disease progression of PsA is variable and patients often present only with skin involvement for years before developing any joint symptoms.
Symptoms and signs are complex, but, like emergency admission and place of presentation, are more likely to be markers of disease progression than intermediate variables.
There was no significant difference in rate of progression of any of the variables analysed.
We identified no differences in rate of progression of cognitive or neuropsychiatric variables over a 12-month follow-up period.
In addition, GEE with linear analysis showed that BLB or BLL were significant variables for predicting the progression of eGFR, after adjusting for other variables (Tables 4 and 5).
Model order progression (MOP), the predicted optimal variant, gradually increases the specificity of the relations between variables, whereas model elaboration progression (MEP) gradually expands the number of variables in the task.
