Nonlinear and time-dependent effects of sparsely measured continuous time-varying covariates in time-to-event analysis.

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Bibliographic Details
Title: Nonlinear and time-dependent effects of sparsely measured continuous time-varying covariates in time-to-event analysis.
Authors: Wang Y; Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, QC, Canada., Beauchamp ME; Centre for Outcomes Research and Evaluation, Research Institute of the McGill University Health Centre, Montreal, QC, Canada., Abrahamowicz M; Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, QC, Canada.; Centre for Outcomes Research and Evaluation, Research Institute of the McGill University Health Centre, Montreal, QC, Canada.
Source: Biometrical journal. Biometrische Zeitschrift [Biom J] 2020 Mar; Vol. 62 (2), pp. 492-515. Date of Electronic Publication: 2020 Feb 05.
Publication Type: Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Wiley-VCH Verlag GmbH & Co. KGaA Country of Publication: Germany NLM ID: 7708048 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1521-4036 (Electronic) Linking ISSN: 03233847 NLM ISO Abbreviation: Biom J Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:1521-4036
DOI:10.1002/bimj.201900042