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Communications in Statistics - Theory and Methods Volume 34, 2005 - Issue 8
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SURVIVAL ANALYSIS

Modeling Unequally Spaced Bivariate Growth Curve Data Using a Kalman Filter Approach

Qianyu Dang Department of Biostatistics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania, USACorrespondence[email protected]
,
Stewart Anderson Department of Biostatistics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
,
Lingshi Tan Pfizer, Inc., New York, New York, USA
&
Sati Mazumdar Department of Biostatistics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
Pages 1821-1831 | Received 16 Apr 2004, Accepted 17 Feb 2005, Published online: 02 Sep 2006

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Feng-shou Ko. (2017) Application of trajectories from growth curve in identification of longitudinal biomarker for the multivariate survival data. Journal of Applied Statistics 44:3, pages 416-426.
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Articles from other publishers (2)

S. BandyopadhyayB. Ganguli & A. Chatterjee. (2010) A review of multivariate longitudinal data analysis. Statistical Methods in Medical Research 20:4, pages 299-330.
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Qianyu Dang, Sati Mazumdar, Stewart J. Anderson, Patricia R. Houck & Charles F. Reynolds. (2006) Using trajectories from a bivariate growth curve as predictors in a Cox regression model. Statistics in Medicine 26:4, pages 800-811.
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