Quantile regression in random effects meta-analysis model-Reference-Cited by-同舟云学术

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Quantile regression in random effects meta-analysis model

Published:2022-10-12 Issue: Volume: Page:
ISSN:1618-2510
Container-title:Statistical Methods & Applications
language:en
Short-container-title:Stat Methods Appl

Author:

Dai Xiaowen,Jin Libin,Shi Lei^ORCID

Funder

Key project of National Natural Science Foundation of China

National Natural Science Foundation of China

Natural Science Foundation of Shanghai

Publisher

Springer Science and Business Media LLC

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Link

https://link.springer.com/content/pdf/10.1007/s10260-022-00660-3.pdf

Reference44 articles.

1. Aghamohammadi A, Mohammadi S (2017) Bayesian analysis of penalized quantile regression for longitudinal data. Stat Pap 58:1035–1053

2. Barndorff-Nielsen OE, Shephard N (2001) Non-Gaussian Ornstein–Uhlenbeck-based models and some of their uses in financial economics. J R Stat Soc Ser B (Stat Methodol) 63:167–241

3. Booth JG, Hobert JP (1999) Maximizing generalized linear mixed model likelihoods with an automated Monte Carlo EM algorithm. J R Stat Soc Ser B (Stat Methodol) 61:265–285

4. Chen Y, Hong C, Riley RD (2015) An alternative pseudolikelihood method for multivariate random-effects meta-analysis. Stat Med 34(3):361–380

5. Colditz GA, Brewer TF, Berkey CS, Wilson ME, Burdick E, Fineberg HV, Mosteller F (1994) Efficacy of BCG vaccine in the prevention of tuberculosis: meta-analysis of the published literature. J Am Med Assoc 271:698–702

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