@article{(Open Science Index):https://publications.waset.org/pdf/3809, title = {A Bayesian Hierarchical 13COBT to Correct Estimates Associated with a Delayed Gastric Emptying}, author = {Leslie J.C.Bluck and Sarah J.Jackson and Georgios Vlasakakis and Adrian Mander}, country = {}, institution = {}, abstract = {The use of a Bayesian Hierarchical Model (BHM) to interpret breath measurements obtained during a 13C Octanoic Breath Test (13COBT) is demonstrated. The statistical analysis was implemented using WinBUGS, a commercially available computer package for Bayesian inference. A hierarchical setting was adopted where poorly defined parameters associated with a delayed Gastric Emptying (GE) were able to "borrow" strength from global distributions. This is proved to be a sufficient tool to correct model's failures and data inconsistencies apparent in conventional analyses employing a Non-linear least squares technique (NLS). Direct comparison of two parameters describing gastric emptying ng ( tlag -lag phase, t1/ 2 -half emptying time) revealed a strong correlation between the two methods. Despite our large dataset ( n = 164 ), Bayesian modeling was fast and provided a successful fitting for all subjects. On the contrary, NLS failed to return acceptable estimates in cases where GE was delayed. }, journal = {International Journal of Biomedical and Biological Engineering}, volume = {4}, number = {5}, year = {2010}, pages = {190 - 194}, ee = {https://publications.waset.org/pdf/3809}, url = {https://publications.waset.org/vol/41}, bibsource = {https://publications.waset.org/}, issn = {eISSN: 1307-6892}, publisher = {World Academy of Science, Engineering and Technology}, index = {Open Science Index 41, 2010}, }