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Publication Bias in Meta-Analysis
| Content Provider | Scilit |
|---|---|
| Author | Samawi, Hani |
| Copyright Year | 2021 |
| Description | Publication bias is the term in which the research that appears in the literature is unrepresentative of the population of completed studies. In a meta-analysis, the studies selected and included are vital to draw a valid conclusion. When only the studies that demonstrate statistical significance or, if not statistically significant, don't reflect qualitative interaction of a drug are included in a meta-analysis, publication bias may occur. In this chapter, we offer some aspects of the publication bias problem in meta-analysis. In particular, we discuss its impact on meta-analysis results. We also discuss how to deal with some of the issues that impact meta-analysis due to publication bias. We investigate how to test for publication bias. Illustrations in R and Stata systems using real studies are presented. Book Name: Applied Meta-Analysis with R and Stata |
| Related Links | https://content.taylorfrancis.com/books/download?dac=C2018-0-95041-6&isbn=9780429061240&doi=10.1201/9780429061240-9&format=pdf |
| Ending Page | 252 |
| Page Count | 16 |
| Starting Page | 237 |
| DOI | 10.1201/9780429061240-9 |
| Language | English |
| Publisher | Informa UK Limited |
| Publisher Date | 2021-03-19 |
| Access Restriction | Open |
| Subject Keyword | Book Name: Applied Meta-Analysis with R and Stata History and Philosophy of Science Publication Bias Statistical Significance Impact Meta Analysis |
| Content Type | Text |
| Resource Type | Chapter |