Titelaufnahme

Titel
Meta-regression and robustness / von Klaudius Kalcher
VerfasserKalcher, Klaudius
Begutachter / BegutachterinFilzmoser, Peter
Erschienen2009
Umfang87 Bl. : graph. Darst.
HochschulschriftWien, Techn. Univ., Dipl.-Arb., 2009
SpracheEnglisch
DokumenttypDiplomarbeit
Schlagwörter (DE)Meta-Regression / Meta-Analyse / Robustheit / LTS / Zufällige Effekte / Simulation
Schlagwörter (EN)meta-regression / meta-analysis / robustness / LTS / least trimmed squares / random effects / simulation
URNurn:nbn:at:at-ubtuw:1-31395 Persistent Identifier (URN)
Zugriffsbeschränkung
 Das Werk ist frei verfügbar
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Meta-regression and robustness [0.67 mb]
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Klassifikation
Zusammenfassung (Englisch)

Meta-analysis is the synthesis of information from multiple primary studies of similar design. A useful meta-analytic tool is meta-regression, wich serves to assess the relation between one or more study-level covariates and the observed effect size in a study.

Robustness is the ability of a statistical method to cope with violation of model assumptions. Robustness is of particular importance in meta-analysis, and various reasons for this are presented. Specific issues of robustness in the context of meta-analysis are raised. A robust estimator for meta-regression, termed meta.lts, is introduced, and its usefulness is demonstrated using simulation studies.