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A decision tree analytic cost model was developed, primarily based on data from peer-reviewed literature.
It will consist of a within-trial cost effectiveness analysis and a decision analytic cost effectiveness model.
For this cost analysis a decision analytic cost model was developed, primary based on data from peer-reviewed literature.
Therefore we will construct a patient-level decision analytic cost effectiveness model to estimate the expected incremental cost per life year gained for RSA compared to THA.
Note that, for large prospective studies, the analytic cost of the bioassays need not be prohibitive if analyses are based on a nested case-control design.
For the within trial analysis this will be done using the non-parametric bootstrap; for the decision analytic cost effectiveness model this will be done using Monte Carlo simulation.
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The patient level data collected by Courtney et al. [23] were used alongside other routinely available data to inform a decision analytic cost-effectiveness model.
The methods [16] and behaviour-change outcomes of the intervention trial [17] have been reported and in this paper a decision analytic cost-effectiveness model is presented.
The patient level data will be used alongside other routinely available data to inform a decision analytic cost-effectiveness model.
A decision analytic cost-utility model was developed following the standard of the CHEERS checklist, a general guideline on decision-analytic modelling [ 18].
Extrapolating results to longer time periods using decision analytic cost-effectiveness models is an option, provided there is sufficient information on the association between intermediate and final outcomes.
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