Regression analysis of interval-censored competing risks data with missing causes of failure: A direct likelihood approach.

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Bibliographic Details
Title: Regression analysis of interval-censored competing risks data with missing causes of failure: A direct likelihood approach.
Authors: Lou Y; School of Physical and Mathematical Sciences, Nanyang Technological University, Singapore., Ma Y; Jiangsu Hengrui Pharmaceuticals, Co., Ltd., Shanghai, China., Xiang L; School of Physical and Mathematical Sciences, Nanyang Technological University, Singapore., Sun J; Department of Statistics, University of Missouri, Columbia, MO, USA.
Source: Statistical methods in medical research [Stat Methods Med Res] 2026 Apr; Vol. 35 (4), pp. 795-811. Date of Electronic Publication: 2026 Mar 04.
Publication Type: Journal Article
Journal Info: Publisher: SAGE Publications Country of Publication: England NLM ID: 9212457 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1477-0334 (Electronic) Linking ISSN: 09622802 NLM ISO Abbreviation: Stat Methods Med Res Subsets: MEDLINE
Database: MEDLINE Ultimate
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