Auriche M (1985) Bayesian approach to the imputability of undesirable phenomena to drugs. Therapie 40(5): 301-6.

Bate A, Lindquist M, Edwards IR, Olsson S, Orre R, Lansner A, et al. (1998) A Bayesian neural network method for adverse drug reaction signal generation. Eur J Clin Pharmacol 54: 315-21.

Edwards IR (1997) Adverse drug reactions: finding the needle in the haystack (Editorial). Br Med J 315: 500.

Edwards IR, Aronson JK (2000) Adverse drug reactions: definitions, diagnosis, and management. Lancet 356: 1255-9.

Edwards IR, Biriell C (1994) Harmonisation in pharma-covigilance. Drug Safety 10: 93-102.

Edwards IR, et al. (1990) Quality criteria for early signals of possible adverse drug reactions. Lancet 336: 156-8.

Hand DJ (1999) Statistics and data mining: intersecting disciplines. SIGKDD Expl 1: 16-19.

Holst A (1997) The use of a Bayesian neural network model for classification tasks. Thesis dissertation. Royal Institute of Technology, Stockholm.

Holst A, Lansner A (1993) A flexible and fault tolerant query-reply system based on a Bayesian neural network. Int J Neural Syst 4: 257-67.

Holst A, Lansner A (1996) A higher order neural network for classification and diagnosis. In: Gammer-man A, ed., Computational Learning and Probabilistic Reasoning. Chichester: Wiley, pp. 199-209.

Lansner A, Ekeberg O (1989) A one layer feedback artificial neural network with a Bayesian learning rule. Int J Neural Syst 1: 77-87.

Lindquist M, Edwards IR, Bate A, Fucik H, Nunes AM, Stahl M. (1999) From association to alert—a revised approach to international signal analysis. Pharmacoepidemiology and Drug Safety 8: S15-S25.

Lindquist M, Stahl M, Bate A, Edwards IR, Meyboom

RHB (2000) A retrospective evaluation of a data mining approach to aid finding new adverse drug reaction signals in the WHO international database. Drug Safety 23(6): 533-42.

Meyboom, RHB, et al. (1997) Principles of signal detection in pharmacovigilance. Drug Safety 16(6): 355-65.

Napke E (1977) Present ADR monitoring methods. In: Gross TP, Inman WHW, eds, Drug Monitoring. London: Academic Press, pp. 1-10.

Naranjo CAL, Lanctot KL (1991) Microcomputer-assisted Bayesian differential diagnosis of severe adverse reactions to new drugs. A 4-year experience. Drug Inf J 25(6): 243-50.

Orre R, Lansner A (1996) Pulp quality modelling using Bayesian mixture density neural networks. J Syst Eng 6: 128-36.

Orre R, Lansner A, Bate A, Lindquist M. (2000) Bayesian neural networks with confidence estimations applied to data mining. Comput Stat Data Anal 34(8): 473-93.

van Puijenbroek EP, Bate A, Leufkens HG, Lindquist M, Orre R, Egberts AC (2002) A comparison of measures of disproportionality for signal detection in spontaneous reporting systems for adverse drug reactions. Pharmacoepidemiology and Drug Safety 11(1): 3-10.

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