Development of an algorithm to identify pregnancy episodes and related outcomes in health care claims databases: An application to antiepileptic drug use in 4.9 million pregnant women in France - Université de Lorraine
Article Dans Une Revue Pharmacoepidemiology and Drug Safety Année : 2018

Development of an algorithm to identify pregnancy episodes and related outcomes in health care claims databases: An application to antiepileptic drug use in 4.9 million pregnant women in France

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Santé publique et épidémiologie

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https://hal.univ-lorraine.fr/hal-02352904

Soumis le : jeudi 7 novembre 2019-09:45:06

Dernière modification le : mercredi 18 septembre 2024-17:19:51

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hal-02352904 , version 1 (07-11-2019)

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Pierre-Olivier Blotiere, Alain Weill, Marie Dalichampt, Cécile Billionnet, Myriam Mezzarobba, et al.. Development of an algorithm to identify pregnancy episodes and related outcomes in health care claims databases: An application to antiepileptic drug use in 4.9 million pregnant women in France. Pharmacoepidemiology and Drug Safety, 2018, 27 (7), pp.763-770. ⟨10.1002/pds.4556⟩. ⟨hal-02352904⟩

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