Authors: Hartung, Joachim
Makambi, K. H.
Title: Simple t-distribution Based Tests for Meta-Analysis
Language (ISO): en
Abstract: The variance function of the optimal estimator of the overall mean in a heteroscedastic one-way ANOVA model is dominated by positive semi-definite quadratic functions. This makes it possible to develop closely related tests on the nullity of the overall mean parameter, in one-way fifixed and random effects ANOVA models, which make use of the quantiles of the t-distribution. These tests are founded on the convexity arguments similar to Hartung (1976). Simulation results indicate that the proposed tests attain type I error rates which are far more acceptable than those of the commonly used tests.
Subject Headings: balanced and unbalanced samples
estimated degrees of freedom
fixed and random effects models
homoscedastic and heteroscedastic error variances
replication
type I error rate
URI: http://hdl.handle.net/2003/4925
http://dx.doi.org/10.17877/DE290R-5425
Issue Date: 1999
Publisher: Universitätsbibliothek Dortmund
Appears in Collections:Sonderforschungsbereich (SFB) 475

Files in This Item:
File Description SizeFormat 
99_38.pdfDNB162.34 kBAdobe PDFView/Open
tr38-99.ps123.08 kBPostscriptView/Open


This item is protected by original copyright



All resources in the repository are protected by copyright.