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Optimizing cohort criteria for multi-country analysis of women experiencing menopause in administrative databases.

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Bibliographic Details
Title:	Optimizing cohort criteria for multi-country analysis of women experiencing menopause in administrative databases.
Authors:	Banks V; Bayer PLC, 400 S Oak Way, Reading, RG2 6AD, United Kingdom., Brash J; IQVIA, 3 Forbury Place, 23 Forbury Road, Reading, RG1 3JH, United Kingdom., Caetano C; Bayer Consumer Care AG, Peter Merian-Strasse 84, Basel, 4052, Switzerland., Dinkel-Keuthage C; Bayer AG, Pharmaceuticals, Müllerstraße 178, Berlin, 13353, Germany., Herrera R; Bayer AG, Pharmaceuticals, Müllerstraße 178, Berlin, 13353, Germany., Janssenswillen C; Bayer Consumer Care AG, Peter Merian-Strasse 84, Basel, 4052, Switzerland., Saadedine M; Department of Obstetrics and Gynecology, George Washington University, Washington, DC, U.S., Schoof N; Bayer AG, Pharmaceuticals, Müllerstraße 178, Berlin, 13353, Germany., Moeller C; Bayer AG, Pharmaceuticals, Müllerstraße 178, Berlin, 13353, Germany. carsten.moeller@bayer.com.
Source:	BMC medical research methodology [BMC Med Res Methodol] 2026 Mar 28; Vol. 26 (1). Date of Electronic Publication: 2026 Mar 28.
Publication Type:	Journal Article
Journal Info:	Publisher: BioMed Central Country of Publication: England NLM ID: 100968545 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2288 (Electronic) Linking ISSN: 14712288 NLM ISO Abbreviation: BMC Med Res Methodol Subsets: MEDLINE
Database:	MEDLINE Ultimate

Description
ISSN:	1471-2288
DOI:	10.1186/s12874-026-02830-3