Non-parametric test of recurrent cumulative incidence functions for competing risks models-Reference-Cited by-同舟云学术

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Non-parametric test of recurrent cumulative incidence functions for competing risks models

Published:2022-01-20 Issue:3 Volume:80 Page:331-342
ISSN:0026-1424
Container-title:METRON
language:en
Short-container-title:METRON

Author:

Sisuma M. S.,Sankaran P. G.

Funder

Department of Science and Technology, Ministry of Science and Technology

Kerala State Council for Science, Technology and Environment

Publisher

Springer Science and Business Media LLC

Subject

Statistics and Probability

Link

https://link.springer.com/content/pdf/10.1007/s40300-022-00228-x.pdf

Reference18 articles.

1. Andersen, P.K., Gill, R.D.: Cox’s regression model for counting processes: a large sample study. Ann. Stat. 10(4), 1100–1120 (1982)

2. Cook, R.J., Lawless, J.F., Nadeau, C.: Robust tests for treatment comparisons based on recurrent event responses. Biometrics 52(2), 557–571 (1996)

3. Dauxois, J.Y., Sencey, S.: Non-parametric tests for recurrent events under competing risks. Scand. J. Stat. 36(4), 649–670 (2009)

4. Dong, H., Robison, L.L., Leisenring, W.M., Martin, L.J., Armstrong, G.T., Yasui, Y.: Estimating the burden of recurrent events in the presence of competing risks: the method of mean cumulative count. Am. J. Epidemiol. 181(7), 532–540 (2015)

5. Ghosh, D.: Accelerated rates regression models for recurrent failure time data. Lifetime Data Anal. 10(3), 247–261 (2004)

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