Sentence examples for evaluate whether changes in from inspiring English sources
To evaluate whether changes in internal wound architecture after phacoemulsification can be measured quantitatively by analysis of scanning electron micrographs.
This study was designed to evaluate whether changes in lifestyle behaviors are correlated with the incidence of chronic kidney disease (CKD).
This study was designed to evaluate whether changes in metastatic brain tumors after stereotactic radiosurgery (SRS) can be seen with quantitative MRI early after treatment.
To analyze the association between high-sensitivity C-reactive protein (hs-CRP) levels and cardiovascular risk factors in healthy school children, and to evaluate whether changes in body mass index (BMI) category throughout childhood affect hs-CRP levels.
Our specific aims are to: (a) examine whether mothers participating in the SNAP program take into consideration nutritional information when making their decisions; and (b) evaluate whether changes in labeling and signage can lead mothers participating in the SNAP program to make healthier food choices.
In this paper, we use a unique Canadian administrative dataset to compare the outcomes of immigrants with and without prior experience in Canada and evaluate whether changes in immigration policies that emphasize prior Canadian experience are likely to improve the selection of immigrants to Canada.
To evaluate whether change in HRQOL differed with respect to age, gender, transplant function, baseline dialysis modality, dialysis vintage, and time after RTX, stratified analyses were undertaken.
Using a cross-lagged panel analysis, we evaluated whether changes in situation-specific catastrophizing preceded changes in laboratory-induced pain responses, or vice versa, during tonic capsaicin pain stimulation.
In this study, we evaluated whether changes in expression of integrins α-1, -3, -5, -6, -7, -10, -11 and β-1, -3, -5 and -6 play a role during reverse remodeling.
Finally, the observational data base approach, because it capitalizes on data generated and paid for in the patient care process, offers the most feasible approach for evaluating whether changes in prognosis are occurring over time and whether such changes are independent of the mix of the patient population.
