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Analyzing Survival Data with Competing Risks Based on R-packages

Jinheum Kim

J Health Info Stat. 2022;47(Suppl 3):S51-S60. Published online 2022 November 30 DOI: https://doi.org/10.21032/jhis.2022.47.S3.S51

Analyzing Survival Data with Competing Risks Based on R-packages

Jinheum Kim

Journal of Health Informatics and Statistics. 2022;47(Suppl 3):S51-S60

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Frailty-Based Competing Risks Model for Multivariate Survival Data

Malka Gorfine, Li Hsu

Biometrics. 2010;67(2):415-426

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Simulating competing risks data in survival analysis

Jan Beyersmann, Aurélien Latouche, Anika Buchholz, Martin Schumacher

Statistics in Medicine. 2009;28(6):956-971

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A Semiparametric Mixture Model for Analyzing Clustered Competing Risks Data

Malay Naskar, Kalyan Das, Joseph G. Ibrahim

Biometrics. 2005;61(3):729-737

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Competing risks in survival data analysis

Almut Dutz, Steffen Löck

Radiotherapy and Oncology. 2019;130:185-189

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Description of survival data extended to the case of competing risks: a teaching approach based on frequency tables

Davide Paolo Bernasconi, Laura Antolini

Epidemiology, Biostatistics, and Public Health. 2022;11(1):

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Descriptive Methods for Competing Risks Data

Competing Risks. 2006;53-70

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Bayesian inference of the fully specified subdistribution model for survival data with competing risks

Miaomiao Ge, Ming-Hui Chen

Lifetime Data Analysis. 2012;18(3):339-363

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Tree-based models for survival data with competing risks

Malgorzata Kretowska

Computer Methods and Programs in Biomedicine. 2018;159:185-198

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Targeted maximum likelihood estimation for causal inference in survival and competing risks analysis

Helene C. W. Rytgaard, Mark J. van der Laan

Lifetime Data Analysis. 2022;

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