Hierarchical Selection Models With Applications in Meta-Analysis

DOI10.2307/2965556zbMath0889.62022OpenAlexW4243449345MaRDI QIDQ4366184

Nancy Paul Silliman

Publication date: 11 June 1998

Full work available at URL: https://doi.org/10.2307/2965556

zbMATH Keywords

weight functionMarkov chain Monte Carloselection biasdata augmentationhierarchical models

Mathematics Subject Classification ID

Bayesian inference (62F15) Parametric inference (62F99) Probabilistic methods, stochastic differential equations (65C99)

Related Items (6)

Pitfalls of significance testing and \(p\)-value variability: an econometrics perspective ⋮ Measuring robustness for weighted distributions: Bayesian perspective ⋮ The effect of weight function on hypothesis testing in weighted sampling ⋮ Selection models with monotone weight functions in meta analysis ⋮ Publication Bias and Meta-Analysis for 2×2 Tables: An Average Markov Chain Monte Carlo EM Algorithm ⋮ Bayesian meta-analysis using skewed elliptical distributions

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