conclusions adding low dose of ribavirin to peg ifn alfa-2a for treatment of chronic hepatitis c patients with genotype-1 was “highly cost effective” and in patients with low viral load and in previous monotherapy resistant patients was “cost effective.” results the incremental cost effectiveness ratio (icer) for combination therapy in genotype-1 and genotypes non-1 subgroups was 2,673 and 19,2...

conclusions we have demonstrated that ibgms, while not reaching statistical significance, may be associated with slightly reduced a1c and cost due to visiting physicians. results there is a trend of lowered total cost in the intervention group compared to the control group. the control group spent $210.89 per year on visits to physicians; the intervention group spent $131.26 (p = 0.128). patien...

the aim of this research was to measure the relative efficiency of forest management plans in north of iran. in order to fulfill the research, data of 12 forest management plans were collected from the financial balance sheets of shafaroud forest company during a ten years period. first of all, basic data envelopment analysis (dea) models (bcc and ccr) were used to determine the efficiency. the...

This research purposes to analyze production cost control with a standard system at UD. Central Jaya Springbed in Probolinggo City. is quantitative descriptive approach. Data collection methods used are documents, interviews and observation. analysis presented the form of descriptions numerical calculations using costing system. The results showed that controlling costs Sentral January 2022 for...

background: the present study aims to evaluate the cost-effectiveness of dynamic interspinous spacer (coflex®) and static spacer (x-stop ®) compared to laminectomy (lami) in patients with lumbar spinal stenosis.   methods: a decision-analysis model was developed to estimate the cost-effectiveness. the effectiveness parameters were obtained from a systematic literature review in relevant databas...

In the GA approach the parameters that influence its performance include population size, crossover rate and mutation rate. Genetic algorithms are suitable for traversing large search spaces since they can do this relatively fast and because the mutation operator diverts the method away from local optima, which will tend to become more common as the search space increases in size. GA’s are base...