Bayesian parametric estimation based on left-truncated competing risks data under bivariate Clayton copula models-Reference-Cited by-同舟云学术

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Bayesian parametric estimation based on left-truncated competing risks data under bivariate Clayton copula models

Published:2024-02-22 Issue:13 Volume:51 Page:2690-2708
ISSN:0266-4763
Container-title:Journal of Applied Statistics
language:en
Short-container-title:Journal of Applied Statistics

Author:

Michimae Hirofumi¹,Emura Takeshi²³,Miyamoto Atsushi⁴,Kishi Kazuma⁵

Affiliation:

1. School of Pharmacy, Department of Clinical Medicine (Biostatistics), Kitasato University, Tokyo, Japan

2. Biostatistics Center, Kurume University, Kurume, Japan

3. Research Center for Medical and Health Data Science, Institute of Statistical Mathematics, Tokyo, Japan

4. Department of Respiratory Medicine, National Hospital Organization, Tokyo National Hospital, Tokyo, Japan

5. Department of Respiratory Medicine, Toho University School of Medicine, Tokyo, Japan

Funder

JSPS

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/02664763.2024.2315458

Reference50 articles.

1. Accounting for the Competing Risk of Death to Predict Kidney Failure in Adults With Stage 4 Chronic Kidney Disease

2. Introduction to the Analysis of Survival Data in the Presence of Competing Risks

3. Some Further Issues Concerning Likelihood Inference for Left Truncated and Right Censored Lognormal Data

4. Identifiability of the multinormal and other distributions under competing risks model

5. Analysis of hybrid censored competing risks data;Bhattacharya S.;J. Theor. Appl. Stat.,2014

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