The book "Publication Bias in Meta-Analysis: Prevention, Assessment and Adjustments" by Rothstein, Sutton, and Borenstein (2005) addresses the issue of publication bias in meta-analysis. Publication bias occurs when the published studies differ systematically from the population of completed studies, often due to selective publication of studies with statistically significant results. This can lead to biased estimates in meta-analyses. The book provides a comprehensive overview of various forms of publication bias, its causes, and consequences, along with statistical techniques for detecting and adjusting for it. It also discusses software capabilities, strategies to minimize publication bias, and other forms of missing data that may affect systematic literature reviews. The book is written by leading experts in research synthesis and is likely to become a standard reference for those conducting systematic reviews. The chapters are generally accessible to those with an undergraduate-level understanding of statistics, though some technical details are omitted, directing readers to original sources. The book includes examples, datasets, and an annotated bibliography, along with a glossary for clarity. While the book focuses on medical literature, it also addresses other disciplines. A website is provided, though some links are not functioning. The book raises awareness about publication bias, which can seriously threaten the scientific method. It is recommended for researchers conducting systematic reviews, as it highlights the importance of addressing publication bias to ensure unbiased conclusions.The book "Publication Bias in Meta-Analysis: Prevention, Assessment and Adjustments" by Rothstein, Sutton, and Borenstein (2005) addresses the issue of publication bias in meta-analysis. Publication bias occurs when the published studies differ systematically from the population of completed studies, often due to selective publication of studies with statistically significant results. This can lead to biased estimates in meta-analyses. The book provides a comprehensive overview of various forms of publication bias, its causes, and consequences, along with statistical techniques for detecting and adjusting for it. It also discusses software capabilities, strategies to minimize publication bias, and other forms of missing data that may affect systematic literature reviews. The book is written by leading experts in research synthesis and is likely to become a standard reference for those conducting systematic reviews. The chapters are generally accessible to those with an undergraduate-level understanding of statistics, though some technical details are omitted, directing readers to original sources. The book includes examples, datasets, and an annotated bibliography, along with a glossary for clarity. While the book focuses on medical literature, it also addresses other disciplines. A website is provided, though some links are not functioning. The book raises awareness about publication bias, which can seriously threaten the scientific method. It is recommended for researchers conducting systematic reviews, as it highlights the importance of addressing publication bias to ensure unbiased conclusions.