title: [Evaluation of drug iatrogeny by medico-economic modelling techniques].
abstract: Decision-making methods can be extremely useful in managing the large amount of information available on the complex effects of medication over various time spans. Event trees help to formulate data and visualise the medical strategies with the highest performance in regard to clinical benefits, adverse side effects, cost and cost-benefit ratios. However when the quantity of phenomena becomes too diversified (i.e. multiplicity of events, long observation periods, changing variables, etc.) we can use one of the more sophisticated modelling techniques available with today's more powerful computers.
authors.affiliation: Laboratoire Glaxo Wellcome, Paris, France.
authors.forename: A
authors.initials: A
authors.lastname: Beresniak
authors.forename: F
authors.initials: F
authors.lastname: Taboulet
mesh_terms: D000894:Anti-Inflammatory Agents, Non-Steroidal / Q000009:adverse effects; D015195:Drug Design; D004358:Drug Therapy / Q000706:statistics & numerical data; D064420:Drug-Related Side Effects and Adverse Reactions; D006801:Humans; D008390:Markov Chains; D004364:Pharmaceutical Preparations / Q000191:economics*
chemical_list: D000894:Anti-Inflammatory Agents, Non-Steroidal; D004364:Pharmaceutical Preparations