Analyzing discrete competing risks data with partially overlapping or independent data sources and nonstandard sampling schemes, with application to cancer registries-Reference-Cited by-同舟云学术

Analyzing discrete competing risks data with partially overlapping or independent data sources and nonstandard sampling schemes, with application to cancer registries

Published:2019-10-28 Issue:29 Volume:38 Page:5528-5546
ISSN:0277-6715
Container-title:Statistics in Medicine
language:en
Short-container-title:Statistics in Medicine

Author:

Lee Minjung¹^ORCID,Feuer Eric J.²,Wang Zhuoqiao³,Cho Hyunsoon⁴⁵,Zou Zhaohui³,Hankey Benjamin F.³,Mariotto Angela B.⁶,Fine Jason P.⁷⁸

Affiliation:

1. Department of StatisticsKangwon National University Chuncheon, Gangwon South Korea

2. Statistical Research and Applications Branch, Division of Cancer Control and Population SciencesNational Cancer Institute Bethesda Maryland

3. Information Management Services, Inc Calverton Maryland

4. Department of Cancer Control and Population Health, Graduate School of Cancer Science and PolicyNational Cancer Center Goyang, Gyeonggi‐do South Korea

5. Division of Cancer Registration and SurveillanceNational Cancer Center Goyang, Gyeonggi‐do South Korea

6. Data Analytics Branch, Division of Cancer Control and Population SciencesNational Cancer Institute Bethesda Maryland

7. Department of BiostatisticsUniversity of North Carolina at Chapel Hill Chapel Hill North Carolina

8. Department of Statistics and Operations ResearchUniversity of North Carolina at Chapel Hill Chapel Hill North Carolina

Funder

National Research Foundation of Korea

Publisher

Wiley

Subject

Statistics and Probability,Epidemiology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/sim.8381

Reference36 articles.

1. The Analysis of Failure Times in the Presence of Competing Risks

2. Prediction of Cumulative Incidence Function under the Proportional Hazards Model

3. A Proportional Hazards Model for the Subdistribution of a Competing Risk

4. Time-to-Event Analysis of Longitudinal Follow-up of a Survey: Choice of the Time-scale

5. Choice of time-scale in Cox's model analysis of epidemiologic cohort data: a simulation study

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