e-journal

An overdispersion model in meta-analysis

---

We propose a general approach based on the concept of overdispersion for specification of a random effects model (REM) in meta-analysis. This approach is similar to that used in generalized linear models, and includes the traditional REM as a particular case. A key feature of the model is the interpretation of the multiplicative factor as an intra-class correlation parameter. We provide several motivating examples, discuss statistical inference, and compare the new and standard methods on two examples of published meta-analyses. Estimation of the overdispersion parameter in the proposed model is compared in simulations to that of the traditional between-studies variance in the case of normal means. For small values of heterogeneity, the coverage of the confidence intervals for the overdispersion parameter is more stable.

Key words: Intra-class correlation; between-study variability; random effects model; heterogeneity

---

Ketersediaan

Tidak ada salinan data

Informasi Detail

Judul Seri

Statistical Modelling

No. Panggil

-

Penerbit

London : SAGE., 2014

Deskripsi Fisik

Statistical Modelling 2014; 14(1): 49–76

Bahasa

English

ISBN/ISSN

DOI: 10.1177/1471082

Klasifikasi

-

Tipe Isi

-

Tipe Media

-

Tipe Pembawa

-

Edisi

2014; 14(1)

Subjek

STATISTIK

Info Detail Spesifik

-

Pernyataan Tanggungjawab

agus

Versi lain/terkait

Lampiran Berkas

Komentar

---

Anda harus masuk sebelum memberikan komentar