An Empirical Comparison of Segmented and Stochastic Linear Mixed Effects Models to Estimate Rapid Disease Progression in Longitudinal Biomarker Studies-Reference-Cited by-同舟云学术

An Empirical Comparison of Segmented and Stochastic Linear Mixed Effects Models to Estimate Rapid Disease Progression in Longitudinal Biomarker Studies

Published:2021-02-04 Issue:3 Volume:13 Page:270-279
ISSN:1946-6315
Container-title:Statistics in Biopharmaceutical Research
language:en
Short-container-title:Statistics in Biopharmaceutical Research

Author:

Su Weiji¹²,Gecili Emrah²,Wang Xia¹,Szczesniak Rhonda D.²³⁴

Affiliation:

1. Division of Statistics and Data Science, Department of Mathematical Sciences, University of Cincinnati, Cincinnati, OH;

2. Division of Biostatistics & Epidemiology, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH;

3. Division of Pulmonary Medicine, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH;

4. Department of Pediatrics, University of Cincinnati, Cincinnati, OH

Funder

Cystic Fibrosis Foundation

National Heart, Lung, and Blood Institute

Publisher

Informa UK Limited

Subject

Pharmaceutical Science,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/19466315.2020.1870546

Reference22 articles.

1. Asar, O., Bolin, D., Diggle, P. J., and Wallin, J. (2018), “Linear Mixed-Effects Models for Non-Gaussian Repeated Measurement Data,” arXiv no. 1804.02592v1, pp. 1–29.

2. null

3. ON DISTINGUISHING BETWEEN RANDOM WALK AND CHANGE IN THE MEAN ALTERNATIVES

4. Longitudinal analysis of pulmonary function decline in patients with cystic fibrosis

5. Cystic Fibrosis Foundation (2019), “Cystic Fibrosis Foundation Patient Registry. 2018 Annual Data Report,” Cystic Fibrosis Foundation, Bethesda, MD.

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