Literature DB >> 4095686

[Bayesian approach to the imputability of undesirable phenomena to drugs].

M Auriche.   

Abstract

Mesh:

Year:  1985        PMID: 4095686

Source DB:  PubMed          Journal:  Therapie        ISSN: 0040-5957            Impact factor:   2.070


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  4 in total

1.  Comparison of three methods (consensual expert judgement, algorithmic and probabilistic approaches) of causality assessment of adverse drug reactions: an assessment using reports made to a French pharmacovigilance centre.

Authors:  Hélène Théophile; Yannick Arimone; Ghada Miremont-Salamé; Nicholas Moore; Annie Fourrier-Réglat; Françoise Haramburu; Bernard Bégaud
Journal:  Drug Saf       Date:  2010-11-01       Impact factor: 5.606

2.  Agreement of expert judgment in causality assessment of adverse drug reactions.

Authors:  Yannick Arimone; Bernard Bégaud; Ghada Miremont-Salamé; Annie Fourrier-Réglat; Nicholas Moore; Mathieu Molimard; Françoise Haramburu
Journal:  Eur J Clin Pharmacol       Date:  2005-04-13       Impact factor: 2.953

3.  Comparison of three methods (an updated logistic probabilistic method, the Naranjo and Liverpool algorithms) for the evaluation of routine pharmacovigilance case reports using consensual expert judgement as reference.

Authors:  Hélène Théophile; Manon André; Ghada Miremont-Salamé; Yannick Arimone; Bernard Bégaud
Journal:  Drug Saf       Date:  2013-10       Impact factor: 5.606

Review 4.  Does proof of casualty ever exist in pharmacovigilance?

Authors:  M Auriche; E Loupi
Journal:  Drug Saf       Date:  1993-09       Impact factor: 5.606

  4 in total

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