Abstract
In the age of evidence based decision making through a systematic review of the literature, statistical meta-analysis has beenextensively used to synthesise published summary data on a particular topic of interest from a number of independent studies in order tomake credible and scienti?cally valid conclusions. The main objective is to estimate the common effect size as a pooled statistic for anyselected outcome variables from the relevant data. There are several issues concerning the quality and type of the published summarystatistics and inherent heterogeneity among the estimates of the effect size across the studies. This paper covers several estimators of thecommon effect size and some of their major impacts in meta-analysis through redistribution of weights to the individual studies. Someexamples from recent literature on cancer research studies are used to illustrate the alternative estimators and discuss their usefulnessin analysing data from randomised controlled trials in medicine.
Original language | English |
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Pages (from-to) | 815-822 |
Number of pages | 8 |
Journal | Applied Mathematics and Information Sciences |
Volume | 10 |
Issue number | 3 |
DOIs | |
Publication status | Published - 1 May 2016 |