Sentence examples for expected dependent variables from inspiring English sources
Response surface methodology (RSM) is considered a useful method for analyzing several independent parameters on response to expected dependent variables because it integrates mathematical and statistical techniques [ 18].
Unfortunately, since expected values of dependent variables in linear probability models are not bounded between zero and one, the usefulness of the linear probability model can often be limited to addressing the direction of causality and testing instrument validity.
The models express the expected change in dependent variables as a function of exposure to the intervention (e.g. Baby Triple P for preterm infants versus Control).
Unlike classification or clustering, regression is used in quantification of particular dependent variables (expected outcome of the experiment).
Using the expected values of the dependent variables from the regression models, we conducted a comparison of the observed/expected (O/E) ratios of each hospital, as well as their respective residual values relative to an O/E ratio of 1.
Concerning our dependent variables, we expected the acceptance of evolutionary theory and the intention to teach both evolutionary theory and unscientific alternatives to be two distinct attributes (or 'traits'traits
Thus, it seems reasonable to expect that changes in the dependent variables were similar between the conditions, if curcumin ingestion had not produced any effects.
For prognostic/predictive analyses, PFS and OS were used as the dependent variables, given the expected low ORR.
Finally, we conducted a multi-institutional comparison of expected and observed values for the dependent variables from both regression models in 133 hospitals.
We focussed on three dependent variables that we expected to be related to remuneration and list size: consultation length; waiting time to get an appointment; and home visits.
In both groups the dependent variables that we expect to change due to the intervention have to be measured before start of the intervention and after sufficient follow-up time.
