Creators of PHARMiQUEST


With state-of-the-art methodology in health outcomes research, statistics and decision analytic modelling, we conceptualise, analyse and visualise.

Choosing appropriate method is critical and for robustness we often employ several alternatives. It is all about optimisation, also accounting for cost.

We do not use templates or recycle out-of-the-box solutions. Indeed, it is often more cost-effective to build a new tool than to customise.

We do not subcontract our work and always take full responsibility for deliverables.

Here is a selection of the analytical methods we use:

  • Evidence synthesis: systematic review, meta-analysis, meta-regression; frequentist and Bayesian
  • Epidemiology: burden of disease, population attributed risk
  • Data analysis: analysis of clinical trial data, analysis of routine data; frequentist and Bayesian
  • Statistical methods: Parametric and non-parametric regression, fixed and random effects models, bootstrap and jack-knife, survival analysis, GLM, missing value analysis
  • Patient Reported Outcomes: time trade-off, standard gamble, conjoint analysis
  • Economic evaluation: decision trees, Markov models, discreet event simulations, probabilistic sensitivity analysis, expected value of perfect information (EVPI)
  • Costing of interventions: top-down, bottom-up, activity based costing
  • Drug pricing and reimbursement: value dossiers; optimisation models
  •  Efficiency of providers: Data Envelopment Analysis