Discovering heterogeneous treatment effects on slope-based endpoints in chronic kidney disease trials.

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Bibliographic Details
Title: Discovering heterogeneous treatment effects on slope-based endpoints in chronic kidney disease trials.
Authors: Pan T; Department of Biomedical Data Science, Stanford University School of Medicine, 1265 Welch Road, Stanford, CA, 94305, USA.; Department of Pathology, Stanford University School of Medicine, 300 Pasteur Drive, Stanford, CA, 94305, USA., Tian L; Department of Biomedical Data Science, Stanford University School of Medicine, 1265 Welch Road, Stanford, CA, 94305, USA., Kurella Tamura M; Division of Nephrology, Department of Medicine, Stanford University School of Medicine, 3180 Porter Drive, Palo Alto, CA, 94304, USA.; Veterans Affairs Palo Alto Health Care System, 3801 Miranda Avenue, Palo Alto, CA, 94304, USA., Montez-Rath M; Division of Nephrology, Department of Medicine, Stanford University School of Medicine, 3180 Porter Drive, Palo Alto, CA, 94304, USA., Charu V; Department of Pathology, Stanford University School of Medicine, 300 Pasteur Drive, Stanford, CA, 94305, USA. vcharu@stanford.edu.; Quantitative Sciences Unit, Department of Medicine, Stanford University School of Medicine, 300 Pasteur Drive, Stanford, CA, 94305, USA. vcharu@stanford.edu.
Source: BMC medical research methodology [BMC Med Res Methodol] 2025 Oct 14; Vol. 25 (1), pp. 230. Date of Electronic Publication: 2025 Oct 14.
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
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Description
ISSN:1471-2288
DOI:10.1186/s12874-025-02646-7