A note on the prediction of frailties with misspecified shared frailty models-Reference-Cited by-同舟云学术

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A note on the prediction of frailties with misspecified shared frailty models

Published:2020-08-28 Issue:2 Volume:91 Page:219-241
ISSN:0094-9655
Container-title:Journal of Statistical Computation and Simulation
language:en
Short-container-title:Journal of Statistical Computation and Simulation

Author:

Jiang Xuejun¹,Liu Wei²,Zhang Bo³

Affiliation:

1. Department of Statistics and Data Science, Southern University of Science and Technology, Shenzhen, People's Republic of China

2. School of Management, Harbin Institute of Technology, Harbin, People's Republic of China

3. Department of Neurology and ICCTR Biostatistics and Research Design Center, Boston Children's Hospital and Harvard Medical School, Boston, MA, USA

Publisher

Informa UK Limited

Subject

Applied Mathematics,Statistics, Probability and Uncertainty,Modeling and Simulation,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/00949655.2020.1811279

Reference36 articles.

1. The impact of heterogeneity in individual frailty on the dynamics of mortality

2. Maximum Likelihood Estimation of Misspecified Models

3. The effect of misspecifying the random-effects distribution in linear mixed models for longitudinal data

4. Type I and Type II Error Under Random-Effects Misspecification in Generalized Linear Mixed Models

5. Assessing gamma frailty models for clustered failure time data

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1. Allergen immunotherapy in China;Frontiers in Allergy;2024-01-08

2. A comparative study with bootstrap resampling technique to uncover behavior of unconditional hazards and survival functions for gamma and inverse Gaussian frailty models;Mathematical Sciences;2021-01-02

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