Sentence examples for cost regression from inspiring English sources

Table  2 reports the incremental cost associated with Tx2 using the static and the time-varying partitioned IPW cost regression frameworks, respectively.

The only statistically significant predictors that remained for the final regression model were: a) temperature (regression coefficient = −4.4, p < 0.001); b) percent Hispanic population (regression coefficient = −0.4, p = 0.009); and c) cost (regression coefficient = 2.8, p < 0.001; Table 2).

For a log (cost) regression where hospital volume is expressed in natural logs, the coefficient on volume provides the percentage increase in costs resulting from a one percentage point increase in hospital volume.

For the top 10%, pregnancy and serious mental illness were significantly associated with log total costs in the adult sample while age was negatively correlated with log total costs in the child sample.> -wrap-foot> Observed log10 Total Cost regression coefficients from quantile regressions.

To compute a consistent estimate of the percent change in costs for a log(cost) regression where hospital volume is specified in levels and polynomials of volume, we first multiplied each polynomial in volume in the regression by its respective coefficient.

A – reference category male B – reference category Medicare insurance C – pre-period diabetes-related prescription drug costs used only in the diabetes-related prescription drug cost regression and pre-period total diabetes-related total medical costs used only in the total diabetes-related total medical costs regression.

No statistical difference found between cost regressions lines of different tray efficiency of the distillation tower.

Results are intended to be used to adjust reported costs so that conclusions about industry structure based on cost regressions correctly account for differences in stage lengths and capacities.

We estimate separate cost regressions for PCI and CABG.

Table  7 presents the results from cost regressions stratified by income band in Bangladesh and Tanzania.

The cost regressions are estimated including dummy variables for each hospital in the sample.