Theoretical Examination and Simulation Study on Analyses for Progression Free Survival as Interval-censored Data-Reference-Cited by-同舟云学术

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Theoretical Examination and Simulation Study on Analyses for Progression Free Survival as Interval-censored Data

Published:2024-07-30 Issue:1 Volume:45 Page:87-113
ISSN:0918-4430
Container-title:Japanese Journal of Biometrics
language:en
Short-container-title:JJB

Author:

Nishikawa Masako¹,Nishikawa Tomomi²,Saigusa Yusuke³,Morikawa Toshihiko⁴,Yamamoto Koji³

Affiliation:

1. Clinical Research Support Center, The Jikei University School of Medicine

2. Department of Data Science, National Cancer Center Hospital East

3. Department of Biostatistics, School of Medicine, Yokohama City University

4. Biostatistics Center, Kurume University (formerly)

Publisher

The Biometric Society of Japan

Link

https://www.jstage.jst.go.jp/article/jjb/45/1/45_87/_pdf

Reference66 articles.

1. Alioum, A. and Commenges, D. (1996). A proportional hazards model for arbitrarily censored and truncated data. Biometrics, 52, 512-524.

2. Anderson-Bergman, C. (2017). icenReg: Regression models for interval censored data in R. Journal of Statistical Software, 81, 1-23.

3. Anderson-Bergman, C. (2022). icenReg: Regression models for interval censored data. https://cran.r-project.org/web/packages/icenReg/icenReg.pdf

4. Bogaerts, K., Komarek, A. and Lesaffre, E. (2017). Survival Analysis with Interval-Censored Data: A Practical Approach with Examples in R, SAS, and BUGS. Chapman & Hall/CRC Interdisciplinary Statistics.

5. Chen, D.G., Sun, J. and Peace, K.E. (2013). Interval-censored Time-to-Event Data. CRC Press.

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