Tree-based exploratory identification of predictive biomarkers in non-randomized data.

Saved in:
Bibliographic Details
Title: Tree-based exploratory identification of predictive biomarkers in non-randomized data.
Authors: Krzykalla J; Boehringer Ingelheim Pharma GmbH & Co. KG, Biberach, Germany., Saadati M; Division of Biostatistics, German Cancer Research Center (DKFZ), Heidelberg, Germany. maral.saadati@dkfz.de., Hielscher W; Department of Engineering and Management, Technical University of Applied Sciences Mannheim, Mannheim, Germany., Kopp-Schneider A; Division of Biostatistics, German Cancer Research Center (DKFZ), Heidelberg, Germany., Döhner H; Department of Internal Medicine III, Ulm University Hospital, Ulm, Germany., Benner A; Division of Biostatistics, German Cancer Research Center (DKFZ), Heidelberg, Germany., Edelmann D; Division of Biostatistics, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Source: BMC medical research methodology [BMC Med Res Methodol] 2026 Jun 27; Vol. 26 (1). Date of Electronic Publication: 2026 Jun 27.
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/s12874-026-02928-8