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Statistical methods for meta-analysis
Name: Statistical methods for meta-analysis
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The online version of Statistical Methods for Meta-Analysis by Larry V. Hedges and Ingram Olkin on qutromtech.com, the world's leading platform for high. Purchase Statistical Methods for Meta-Analysis - 1st Edition. Print Book & E-Book. ISBN , The main purpose of this book is to address the statistical issues for integrating independent studies. There exist a number of papers and books that discuss the .
On Jan 1, , Larry V. Hedges (and others) published the chapter: Statistical Methods in Meta-Analysis in the book: Statistical methods for meta-analysis. 31 Oct Pitfalls: ▫ Sources of bias are not controlled by the method: a good meta-analysis of badly designed studies will still result in bad statistics. Readers with experience using a statistical package or who conduct analyses such as multiple regression or analysis of variance should be able to carry out the.
SUMMARY. Meta-analysis may be used to estimate an overall effect across a number of similar studies. A number of statistical techniques are currently used to . 5 Mar Meta‐analysis may be used to estimate an overall effect across a number of similar studies. A number of statistical techniques are currently. 4 Nov Advances in statistical methods for meta-analysis Glass, G. V. “Primary, Secondary, and Meta-Analysis of Research.” Educational. Meta-analysis has become a widely-used tool to combine findings from independent studies in various research areas. This thesis deals with several important. Stat Med. Mar 30;20(6) A comparison of statistical methods for meta-analysis. Brockwell SE(1), Gordon IR. Author information: (1)Department of .