A two-stage approach for joint modeling of longitudinal measurements and competing risks data-Reference-Cited by-同舟云学术

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A two-stage approach for joint modeling of longitudinal measurements and competing risks data

Published:2021-04-27 Issue:4 Volume:31 Page:448-468
ISSN:1054-3406
Container-title:Journal of Biopharmaceutical Statistics
language:en
Short-container-title:Journal of Biopharmaceutical Statistics

Author:

Mehdizadeh P.¹,Baghfalaki Taban²,Esmailian M.¹^ORCID,Ganjali M.³

Affiliation:

1. Department of Statistics and Computer Sciences, Faculty of Sciences, University of Mohaghegh Ardabili, Ardabil, Iran

2. Department of Statistics, Faculty of Mathematical Sciences, Tarbiat Modares University, Tehran, Iran

3. Department of Statistics, Faculty of Mathematical Sciences, Shahid Beheshti University, Tehran, Iran

Publisher

Informa UK Limited

Subject

Pharmacology (medical),Pharmacology,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/10543406.2021.1918142

Reference42 articles.

1. Bayesian Inference for Skew-normal Linear Mixed Models

2. Generating survival times to simulate Cox proportional hazards models with time‐varying covariates

3. Azzalini, A. (2020). ‘sn’ package. The skew-Normal and related distributions such as the skew-t. http://azzalini.stat.unipd.it/SN.

4. Robust joint modeling of longitudinal measurements and time to event data using normal/independent distributions: A Bayesian approach

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Bridging the gap between two‐stage and joint models: The case of tumor growth inhibition and overall survival models;Statistics in Medicine;2024-06-03

2. Fast and flexible inference for joint models of multivariate longitudinal and survival data using integrated nested Laplace approximations;Biostatistics;2023-08-02

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