Literature DB >> 11491413

Approximations for trimmed Fisher procedures in research synthesis.

I Olkin1, H Saner.   

Abstract

When combining the results of independent studies it often happens that some studies are potentially aberrant either in quality or in actual values. Because aberrant studies are often at the extremes, we may wish to trim some of the largest and smallest effects. In such a case the use of p-values may well serve as a diagnostic method. However, the use of ordered effects changes the distribution of the underlying statistics. We provide a discussion of the exact distribution of the trimmed version of the Fisher procedure. Because of the complexity of the exact distribution, several approximations are presented. These alternatives are applied to a meta-analysis on the effect of the dose of a drug on the risk of mortality.

Mesh:

Year:  2001        PMID: 11491413     DOI: 10.1177/096228020101000403

Source DB:  PubMed          Journal:  Stat Methods Med Res        ISSN: 0962-2802            Impact factor:   3.021


  5 in total

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2.  Imputation of Truncated p-Values For Meta-Analysis Methods and Its Genomic Application.

Authors:  Shaowu Tang; Ying Ding; Etienne Sibille; Jeffrey Mogil; William R Lariviere; George C Tseng
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3.  Combining independent, weighted P-values: achieving computational stability by a systematic expansion with controllable accuracy.

Authors:  Gelio Alves; Yi-Kuo Yu
Journal:  PLoS One       Date:  2011-08-31       Impact factor: 3.240

4.  MiningABs: mining associated biomarkers across multi-connected gene expression datasets.

Authors:  Chun-Pei Cheng; Christopher DeBoever; Kelly A Frazer; Yu-Cheng Liu; Vincent S Tseng
Journal:  BMC Bioinformatics       Date:  2014-06-08       Impact factor: 3.169

5.  Meta-analysis based on weighted ordered P-values for genomic data with heterogeneity.

Authors:  Yihan Li; Debashis Ghosh
Journal:  BMC Bioinformatics       Date:  2014-06-28       Impact factor: 3.169

  5 in total

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