Sentence examples for prediction factor for from inspiring English sources

There were two requirements for the patients to be used in this study: must be over the age of 50 (due to increasing age being a huge prediction factor for this line of study) and had at least 1 hospital visit within the year 2003.

Furthermore, the combination of CXCL10 and CCL2 protein levels could be useful as prediction factor for upcoming flares [ 22].

This study revealed that high levels of TgAb may act as an independent prediction factor for DTC, and suggests that patients with high TgAb concentrations may be predisposed to DTC.

This procedure was undertaken for both dataset 2 and dataset 1. Age was a significant and by far the most striking prediction factor for all four BR patterns (Supplementary Table 2).

Thus, an abnormal increase in the levels of sCD30 can produce an imbalance between Th cell network functions (Fig.  2), by blocking CD30R-mediated signals [ 47]; sCD30 levels have also been found to be a prediction factor for immunological risks [ 14, 19, 36, 37].

Best prediction factors for infection with S. mansoni were selected using forward – stepwise variable selection method.

Best prediction factors for the infection were subsequently selected using forward – stepwise variable selection method.

Besides topological properties of PPI network, other biological properties are also important prediction factors for protein complexes.

Subsequently, we used logistic regression analysis to identify the prediction factors for clustering of individual patients in the distinct BR patterns.

Since age, duration of diabetes, and sex proved to be associated with differences in the assigned BR regimen (4), we used these variables for logistic regression analysis to identify prediction factors for clustering of individual patients in clusters F, AG, BC, or D, respectively.

The Mayo Clinic has reported the long-term follow-up results on a group of 145 AL amyloidosis patients with renal involvement showing that the 24 h urinary protein and creatinine levels at diagnosis were prediction factors for renal involvement and the median survival time from the day of dialysis was <1 year [ 22].