Dynamic predictions with time‐dependent covariates in survival analysis using joint modeling and landmarking

A key question in clinical practice is accurate prediction of patient prognosis. To this end, nowadays, physicians have at their disposal a variety of tests and biomarkers to aid them in optimizing medical care. These tests are often performed on a regular basis in order to closely follow the progre...

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Bibliographic Details
Published in:	Biometrical journal Vol. 59; no. 6; pp. 1261 - 1276
Main Authors:	Rizopoulos, Dimitris, Molenberghs, Geert, Lesaffre, Emmanuel M.E.H.
Format:	Journal Article
Language:	English
Published:	Germany Wiley - VCH Verlag GmbH & Co. KGaA 01.11.2017
Subjects:	Aortic Valve - surgery Biomarkers Biometry - methods Calibration Decision making Discrimination Economic models Female Heuristics Humans Information processing Male Mathematical models Medical prognosis Models, Statistical Optimization Physicians Probability Prognostic modeling Random effects Reoperation Risk prediction Statistical analysis Survival Survival Analysis Time Factors Random effects Risk prediction Discrimination Calibration Prognostic modeling
ISSN:	0323-3847, 1521-4036, 1521-4036
Online Access:	Get full text
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