Sentence examples for cost predictors from inspiring English sources

We used patients' annual pharmacy expenditures from Year-1 to calculate prior pharmacy cost predictors.

The most important cost predictors are type of delivery, especially cesarean section, and neonatal severity.

The ECCt and the preoperative mAHA score were cost predictors, but influenced only 9.2% of the variation.

The most important cost predictors (including cost drivers) for total, direct, and indirect costs are identified by multivariate modelling approaches.

Further important cost predictors were clinical variables like the presence of chronic medical disease, the number of previous disc surgeries, and time and gender.

However, the most important cost predictors were employment status (−4,502 Euro if unemployed) and time (T1: +3,028 Euro; T2: -2,370 Euro).

Time was the most prominent cost predictor due to changes in therapy over time (T1: -2,456 Euro; T2: -4,634 Euro).

The cost predictor variables were age, maternal origin (Spanish-born versus foreign-born), prenatal care (yes or no), delivery type [according to the ICD-9: vaginal non-instrumented (73.4 and 73.59); instrumented (72.XX, 73.1, 73.2, 73.3 and from 73.80 to 73.99) and cesarean section (74.XX ], multiple pregnancy and maternal and neonatal severity (measured by the APR-DRG [ 20]) severity index.

We detailed the various models of the variables selection and examined the basic steps that are used to select the cost-effective predictors.

The basis for the cost and predictor analysis presented here was stable schizophrenic patients, i.e. those persons with schizophrenia who, over a period of two years, did not have to undergo inpatient treatment.

In addition, the characteristics of such patients were likely captured to some extent amongst the cost driver (predictor) variables included in the models.