Some Methods for Addressing Publication Bias in Statistical Meta-analysis

Authors

  • April Albertine Department of Mathematics and Statistics, University of Maryland, Baltimore County, USA

Keywords:

Fail safe sample size, meta-analysis, publication bias, selection models

Abstract

In statistical meta-analysis, publication bias may bias the overall conclusion toward a significant
result. We examine two approaches for accounting for this bias: the fail safe sample size, for which we
provide a correction, and selection models, for which we explore a simplification. In a new approach
which combines both of these methods, we use a variation on one type of selection model in order to
make better assumptions about the unobserved studies in the fail safe sample size.

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Published

2016-01-25

How to Cite

Albertine, A. (2016). Some Methods for Addressing Publication Bias in Statistical Meta-analysis. Thailand Statistician, 14(1), 15–24. Retrieved from https://ph02.tci-thaijo.org/index.php/thaistat/article/view/47300

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Section

Articles