Assessment of benefit vs. risk of drug therapy: The potential for outcome analysis with flexible models

José Manuel Matos Ribeiro da Fonseca; DEE Group Author

doi:10.1109/IJCNN.2010.5596689

Assessment of benefit vs. risk of drug therapy: The potential for outcome analysis with flexible models

José Manuel Matos Ribeiro da Fonseca, DEE Group Author

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Pharmaceutical companies face twin pressures of improving the throughput of new products and responding to increased requirements by regulatory bodies for risk evaluation and mitigation both pre- and post-marketing. This paper gives a brief overview of flexible outcome models to improve the accuracy of these studies. The focus is on the discovery of niche populations in secondary analysis and monitoring of adverse events in observational studies of new products. Analytical results illustrate the power of the methods and they can be mapped onto Boolean filters to represent populations with particular benefit/risk ratios

Original language	Unknown
Title of host publication	IEEE International Joint Conference on Neural Networks (IJCNN)
Pages	1-8
DOIs	https://doi.org/10.1109/IJCNN.2010.5596689
Publication status	Published - 1 Jan 2010
Event	International Joint Conference on Neural Networks (IJCNN) - Duration: 1 Jan 2010 → …

Conference

Conference	International Joint Conference on Neural Networks (IJCNN)
Period	1/01/10 → …

Access to Document

10.1109/IJCNN.2010.5596689

http://oa.uninova.pt/4773/

Cite this

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title = "Assessment of benefit vs. risk of drug therapy: The potential for outcome analysis with flexible models",

abstract = "Pharmaceutical companies face twin pressures of improving the throughput of new products and responding to increased requirements by regulatory bodies for risk evaluation and mitigation both pre- and post-marketing. This paper gives a brief overview of flexible outcome models to improve the accuracy of these studies. The focus is on the discovery of niche populations in secondary analysis and monitoring of adverse events in observational studies of new products. Analytical results illustrate the power of the methods and they can be mapped onto Boolean filters to represent populations with particular benefit/risk ratios",

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N2 - Pharmaceutical companies face twin pressures of improving the throughput of new products and responding to increased requirements by regulatory bodies for risk evaluation and mitigation both pre- and post-marketing. This paper gives a brief overview of flexible outcome models to improve the accuracy of these studies. The focus is on the discovery of niche populations in secondary analysis and monitoring of adverse events in observational studies of new products. Analytical results illustrate the power of the methods and they can be mapped onto Boolean filters to represent populations with particular benefit/risk ratios

AB - Pharmaceutical companies face twin pressures of improving the throughput of new products and responding to increased requirements by regulatory bodies for risk evaluation and mitigation both pre- and post-marketing. This paper gives a brief overview of flexible outcome models to improve the accuracy of these studies. The focus is on the discovery of niche populations in secondary analysis and monitoring of adverse events in observational studies of new products. Analytical results illustrate the power of the methods and they can be mapped onto Boolean filters to represent populations with particular benefit/risk ratios

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