2016
DOI: 10.1016/j.jval.2016.09.133
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Markov Models For Health Economic Evaluation Modelling In R With The Heemod Package

Abstract: Health economic evaluation studies are widely used in public health to assess health strategies in terms of their cost-effectiveness and inform public policies. We developed an R package for writing Markov models for health economic evaluations which implements the modelling and reporting features described in reference textbooks and guidelines: deterministic and probabilistic sensitivity analysis, heterogeneity analysis, time dependency on state-time and model-time (semi-Markov and non-homogeneous Markov mode… Show more

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Cited by 67 publications
(61 citation statements)
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“…Initial disease activity of RA is medium to high as guidelines suggest adding bDMARDs at this stage [3,8]. For calculations we used the heemod package for R [17] and Microsoft Excel.…”
Section: Methodsmentioning
confidence: 99%
“…Initial disease activity of RA is medium to high as guidelines suggest adding bDMARDs at this stage [3,8]. For calculations we used the heemod package for R [17] and Microsoft Excel.…”
Section: Methodsmentioning
confidence: 99%
“…Costs and quality-adjusted life years were discounted by 3% per year. Model calculations were conducted using the "heemod" package for R statistics [32]. The calibration of model parameters was performed with Microsoft Excel [33].…”
Section: Methodsmentioning
confidence: 99%
“…The data were analysed using R software. The heemod package [28] was used to calculate the transition probabilities from annual rates, run the Markov model, calculate the incremental cost-effectiveness ratio (ICER) and perform deterministic and probabilistic sensitivity analyses. The patient-based diagnostic performances of the three imaging modalities were compared by using the Cochran Q test with McNemar chi-square as a post hoc test.…”
Section: Discussionmentioning
confidence: 99%