Sentence examples for models use variables from inspiring English sources

Key: All models use variables measured at the time of the follow-up CD4 test.

Key: All models use variables measured on the day of each follow-up visit and include all visits up to 270 days following ART initiation.

Although the recent renal risk models of Tangri et al. (14) have performed very well in secondary care populations with more advanced disease, some require variables that are not routinely measured in primary care (e.g., serum albumin, calcium, phosphate, and bicarbonate), while our models use variables routinely available in primary care.

They also ran models using variables from FA, e.g., book value and earnings per share, and models using variables from both.

To identify factors associated with the higher intakes of nitrates, nitrites, and nitrosamines, we developed models using variables from a pre-defined set of factors known to be associated with birth defects.

Similar to SSVS, we search the space of all possible models using variable addition, deletion or swap moves.

The extension to constructing prognostic models using variable selection procedures with multiply imputed datasets provides an added complexity, which also requires further investigation.

To measure fundamental value, the model uses variables like ratios of price to earnings and price to cash flow.

Our objective was to compare three estimation models: (1) the All Information Model, using variables available from the American College of Surgeons National Surgical Quality Improvement Program (ACS NSQIP); (2) the Surgeon Assessment Model, using variables available to surgeons preoperatively, and (3) the Patient-Entered Model, using information that patients know about their own health.

We developed a computer-based simulation model using variables such as case volume and program size to demonstrate the influence of these factors on the likelihood of certifying a set of residents on rare cases.

Collinearity was assessed, and the model used variables that contributed information that was statistically independent of the other variables in the model.