Marginalized Frailty-Based Illness-Death Model: Application to the UK-Biobank Survival Data-Reference-Cited by-同舟云学术

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Marginalized Frailty-Based Illness-Death Model: Application to the UK-Biobank Survival Data

Published:2020-11-20 Issue:535 Volume:116 Page:1155-1167
ISSN:0162-1459
Container-title:Journal of the American Statistical Association
language:en
Short-container-title:Journal of the American Statistical Association

Author:

Gorfine Malka¹^ORCID,Keret Nir¹,Ben Arie Asaf¹,Zucker David²,Hsu Li³

Affiliation:

1. Department of Statistics and Operations Research, Tel Aviv University, Tel Aviv, Israel

2. Statistics and Data Science, The Hebrew University, Jerusalem, Israel

3. Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA

Funder

the U.S.-Israel Binational Science Foundation

the Israel Science Foundation

Publisher

Informa UK Limited

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/01621459.2020.1831922

Reference29 articles.

1. Nonparametric Inference for a Family of Counting Processes

2. Breast Cancer Before Age 40 Years

3. Multistate models in survival analysis: A study of nephropathy and mortality in diabetes

4. Regression Analysis for Multistate Models Based on a Pseudo-value Approach, with Applications to Bone Marrow Transplantation Studies

5. Diet and colorectal cancer in UK Biobank: a prospective study

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1. Analyzing Big EHR Data—Optimal Cox Regression Subsampling Procedure with Rare Events;Journal of the American Statistical Association;2023-06-22

2. Evaluation of the natural history of disease by combining incident and prevalent cohorts: application to the Nun Study;Lifetime Data Analysis;2023-05-20

3. An Accelerated Failure Time Regression Model for Illness–Death Data: A Frailty Approach;Biometrics;2023-05-17

4. Shared Frailty Methods for Complex Survival Data: A Review of Recent Advances;Annual Review of Statistics and Its Application;2023-03-10

5. Few-Shot Learning for Handling Highly Censored Survival Data;SSRN Electronic Journal;2022

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