Robust estimation and confidence interval in meta-regression models

DOI10.1016/j.csda.2018.08.010zbMath1469.62171OpenAlexW2889397725MaRDI QIDQ1799820

Chang Ding, Na He, Lei Shi, Dalei Yu, Rui-Wu Wang, Xiao-Hua Andrew Zhou

Publication date: 19 October 2018

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2018.08.010

zbMATH Keywords

confidence intervaloutlierrobust estimationrandom effectmeta-regression modelsecond-order stochastic expansion

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Robustness and adaptive procedures (parametric inference) (62F35)

Related Items (2)

Outlier detection and accommodation in meta-regression models ⋮ The asymptotic distribution of robust maximum likelihood estimator with Huber function for the mixed spatial autoregressive model with outliers

Uses Software

• metafor
• robustlmm

Cites Work

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• Asymptotic Statistics
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• Parametric Empirical Bayes Inference: Theory and Applications
• Robustness for general design mixed models using thet-distribution
• Confidence Distributions and a Unifying Framework for Meta-Analysis
• Estimates of Parameters of a Censored Regression Sample
• High-Breakdown Inference for Mixed Linear Models
• Simple Heterogeneity Variance Estimation for Meta-Analysis

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