Bayesian Meta-Regression Model Using Heavy-Tailed Random-effects with Missing Sample Sizes for Self-thinning Meta-data. | Stat Interface;13(4): 437-447, 2020. | MEDLINE

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Bayesian Meta-Regression Model Using Heavy-Tailed Random-effects with Missing Sample Sizes for Self-thinning Meta-data.

Ma, Zhihua; Chen, Ming-Hui; Tang, Yi.

Affiliation

Ma Z; Department of Statistics, School of Economics, Shenzhen University, Shenzhen, China.
Chen MH; Department of Statistics, University of Connecticut, Storrs, CT, USA.
Tang Y; School of Life Science, Liaoning University, Shenyang, China.

Stat Interface ; 13(4): 437-447, 2020.

Article in En | MEDLINE | ID: mdl-34322191

Key words

Outliers; Plausibility Index; Self-thinning Law; Truncated Poisson Model

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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Clinical_trials / Prognostic_studies Language: En Journal: Stat Interface Year: 2020 Document type: Article Affiliation country: China Country of publication: United States

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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Clinical_trials / Prognostic_studies Language: En Journal: Stat Interface Year: 2020 Document type: Article Affiliation country: China Country of publication: United States