Evaluation of transplant benefits with the U.S. Scientific Registry of Transplant Recipients by semiparametric regression of mean residual life-Reference-Cited by-同舟云学术

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Evaluation of transplant benefits with the U.S. Scientific Registry of Transplant Recipients by semiparametric regression of mean residual life

Published:2024-09-01 Issue:3 Volume:18 Page:
ISSN:1932-6157
Container-title:The Annals of Applied Statistics
language:
Short-container-title:Ann. Appl. Stat.

Author:

Zhao Ge¹,Ma Yanyuan²,Lin Huazhen³,Li Yi⁴

Affiliation:

1. Department of Mathematics and Statistics, Portland State University

2. Department of Statistics, Pennsylvania State University

3. Center of Statistical Research, Southwestern University of Finance and Economics

4. Department of Biostatistics, University of Michigan, Ann Arbor

Publisher

Institute of Mathematical Statistics

Reference90 articles.

1. Andersen, P. K., Borgan, Ø., Gill, R. D. and Keiding, N. (1993). Statistical Models Based on Counting Processes. Springer Series in Statistics. Springer, New York.

2. AALEN, O. O., COOK, R. J. and RØYSLAND, K. (2015). Does Cox analysis of a randomized survival study yield a causal treatment effect? Lifetime Data Anal. 21 579–593.

3. YING, Z. (1993). A large sample study of rank estimation for censored regression data. Ann. Statist. 21 76–99.

4. CHEN, Y. Q. (2007). Additive expectancy regression. J. Amer. Statist. Assoc. 102 153–166.

5. MAGULURI, G. and ZHANG, C.-H. (1994). Estimation in the mean residual life regression model. J. Roy. Statist. Soc. Ser. B 56 477–489.

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