Detecting and correcting publication bias in meta-analysis

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Title: Detecting and correcting publication bias in meta-analysis
Author: Li, Xin
Abstract: Publication bias (PB ) makes the resources for meta -analysis (M -A ) unreliable in the sense of completion and accuracy , so to investigate , identify and correct PB is a very important issue in M -A . The current study proposed an empirical comparison in both detection and correcting PB , using a Monte Carlo study . Conditions to be manipulated include the number of primary studies , number of missing studies and true effect size . RANNOR in SAS will be used to generate normally distributed random variables and , for each condition , 10 ,000 M -As will be simulated . Type I error rates are to be calculated for the conditions with no PB and powers were estimated for the conditions with PB and adequate type I error control . Finally , a demonstration of how M -A can and should be used as a part of program evaluations was given .
URI: http : / /hdl .handle .net /2152 /ETD -UT -2009 -12 -536
Date: 2010-09-22


Detecting and correcting publication bias in meta-analysis. Master's thesis, The University of Texas at Austin. Available electronically from http : / /hdl .handle .net /2152 /ETD -UT -2009 -12 -536 .

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