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This modelling study used a validated Markov model that has been developed (TreeAge Software, Williamstown, MA, USA) to predict the incidence of osteoporotic fractures in women with post-menopausal osteoporosis (PMO) in relation with persistence rates with bisphosphonates [ 18].
As this modelling study used fully anonymised statutory notification and survey data, formal ethical approval from a medical ethical committee was not required.
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In addition, our molecular modelling study using QTAIM calculations, allowed us to describe in detail the molecular interactions that stabilize the different Ligand-Receptor complexes.
Impact is determined by a detailed modelling study using both local and global sensitivity analysis methods together with correlation analysis.
We have therefore repeated the modelling study using the extremes dimensions for the wrinkles but maintaining the overall geometry whereby approximately 70% of the membrane is localised in the wrinkles in accordance with reported estimates [6,48,49].
The modelling studies used existing literature, official statistics, and databases; and some included expert and author opinions (see Additional file 1 for details).
In general, all these four modelling studies used only demographic changes and level of urbanisation as informants of diabetes prevalence estimates and projections.
The outcome of modelling studies used to assess the effectiveness of various proposed interventions are sensitive to the operational details of the interventions (such as the timing and duration of school closure [ 7, 27, 28]) and to the particular combination of interventions used.
In parallel, modelling studies using GEANT4 and GRAS suites were performed to identify products of the interaction and predict ultimate fluxes and particle rates at the MCP detector.
Further modelling studies using simulated tumours in the non-malignant livers, and different reconstruction settings, might be of value in determining the best reconstruction method to use with nNUFTI.
4 These figures are, however, largely based on modelling studies using cross sectional data, with several key assumptions.
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