An extension of estimating equations to model longitudinal medical cost trajectory with Medicare claims data linked to SEER cancer registry-Reference-Cited by-同舟云学术

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An extension of estimating equations to model longitudinal medical cost trajectory with Medicare claims data linked to SEER cancer registry

Published:2023-03-01 Issue:1 Volume:17 Page:
ISSN:1932-6157
Container-title:The Annals of Applied Statistics
language:
Short-container-title:Ann. Appl. Stat.

Author:

Wang Shikun¹,Ning Jing²,Xu Ying³,Shih Ya-Chen Tina³,Shen Yu²,Li Liang²

Affiliation:

1. Department of Biostatistics, Columbia University

2. Department of Biostatistics, University of Texas MD Anderson Cancer Center

3. Department of Health Services Research, University of Texas MD Anderson Cancer Center

Publisher

Institute of Mathematical Statistics

Subject

Statistics, Probability and Uncertainty,Modeling and Simulation,Statistics and Probability

Reference41 articles.

1. Li, Y. and Ruppert, D. (2008). On the asymptotics of penalized splines. Biometrika 95 415–436.

2. Chen, H. and Wang, Y. (2011). A penalized spline approach to functional mixed effects model analysis. Biometrics 67 861–870.

3. Liu, L., Huang, X. and O’Quigley, J. (2008). Analysis of longitudinal data in the presence of informative observational times and a dependent terminal event, with application to medical cost data. Biometrics 64 950–958.

4. BRESLOW, N. E. and CLAYTON, D. G. (1993). Approximate inference in generalized linear mixed models. J. Amer. Statist. Assoc. 88 9–25.

5. BANG, H. (2005). Medical cost analysis: Application to colorectal cancer data from the SEER Medicare database. Contemp. Clin. Trials 26 586–597.

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