---
product_id: 164100678
title: "Common Mistakes in Meta-Analysis and How to Avoid Them"
price: "$40.05"
currency: USD
in_stock: true
reviews_count: 10
url: https://www.desertcart.ec/products/164100678-common-mistakes-in-meta-analysis-and-how-to-avoid-them
store_origin: EC
region: Ecuador
---

# Common Mistakes in Meta-Analysis and How to Avoid Them

**Price:** $40.05
**Availability:** ✅ In Stock

## Quick Answers

- **What is this?** Common Mistakes in Meta-Analysis and How to Avoid Them
- **How much does it cost?** $40.05 with free shipping
- **Is it available?** Yes, in stock and ready to ship
- **Where can I buy it?** [www.desertcart.ec](https://www.desertcart.ec/products/164100678-common-mistakes-in-meta-analysis-and-how-to-avoid-them)

## Best For

- Customers looking for quality international products

## Why This Product

- Free international shipping included
- Worldwide delivery with tracking
- 15-day hassle-free returns

## Description

Common Mistakes in Meta-Analysis and How to Avoid Them [Michael Borenstein] on desertcart.com. *FREE* shipping on qualifying offers. Common Mistakes in Meta-Analysis and How to Avoid Them

Review: useful and clear book on meta-analysis - An excellent resource covering new advances in meta-analysis. I had only limited experience with meta-analysis beforehand but still found this book easy to understand and implement.
Review: Definitely a must meta-analysis reading! - Easy to read and a great practical guide book with relatable examples especially for a student like me who is novice in conducting a meta-analysis for my PhD research project. It is essential to develop the understanding of the common mistakes in meta-analyses and how to avoid making them. This is crucial in obtaining accurate meta-analyses results. This book also contains very useful explanations on how to interpret and report the meta-analyses results. An essential reference for anyone interested in using a meta-analysis in your research.

## Technical Specifications

| Specification | Value |
|---------------|-------|
| Best Sellers Rank | #4,628,585 in Books ( See Top 100 in Books ) |
| Customer Reviews | 4.7 4.7 out of 5 stars (29) |
| ISBN-10  | 1733436715 |
| ISBN-13  | 978-1733436717 |
| Item Weight  | 1.49 pounds |
| Language  | English |
| Print length  | 409 pages |
| Publication date  | August 27, 2019 |
| Publisher  | Biostat, Inc. |

## Images

![Common Mistakes in Meta-Analysis and How to Avoid Them - Image 1](https://m.media-amazon.com/images/I/41bTdfDo1EL.jpg)
![Common Mistakes in Meta-Analysis and How to Avoid Them - Image 2](https://m.media-amazon.com/images/I/51gand4dskL.jpg)
![Common Mistakes in Meta-Analysis and How to Avoid Them - Image 3](https://m.media-amazon.com/images/I/71ntduLseDL.jpg)

## Customer Reviews

### ⭐⭐⭐⭐⭐ useful and clear book on meta-analysis
*by C***N on July 25, 2025*

An excellent resource covering new advances in meta-analysis. I had only limited experience with meta-analysis beforehand but still found this book easy to understand and implement.

### ⭐⭐⭐⭐⭐ Definitely a must meta-analysis reading!
*by H***Y on October 14, 2019*

Easy to read and a great practical guide book with relatable examples especially for a student like me who is novice in conducting a meta-analysis for my PhD research project. It is essential to develop the understanding of the common mistakes in meta-analyses and how to avoid making them. This is crucial in obtaining accurate meta-analyses results. This book also contains very useful explanations on how to interpret and report the meta-analyses results. An essential reference for anyone interested in using a meta-analysis in your research.

### ⭐⭐⭐⭐⭐ Highly Recommended Meta-Analysis Resource for Both Beginners and Seasoned Professionals
*by D***S on January 6, 2020*

Michael Borenstein, Ph.D. has worked, taught, conducted research, served the academic community by assisting on several review groups and advisory panels, developed statistical software programs, and published within the meta-analysis scientific area. He is acknowledged as a distinguished expert and is exceptionally positioned to author this landmark textbook. I have read the book and found it to be a critical addition to my library. It is helpful in expanding and developing my knowledge of meta-analysis, and especially in avoiding common mistakes when conducting systematic reviews of interventions. The author has chosen to identify and explain 42 mistakes made when conducting these important analyses. He uses excellent, easily understood examples for you to apply and learn the principles of meta-analysis. The author explains why each is a mistake, the implications of the mistake, and how you can avoid the mistake. You will never forget the history behind the term “forest plots” and will learn why you should refer to them as “forest plots” and not “Forest plots” even though you will see that term referenced in the literature. If you are new to this area of statistical analysis, there is no better book for you to read at this early stage in your career. It provides a historical perspective to help you understand where the industry was and where it is headed in terms of the evolution of meta-analysis when applied to social, behavioral, educational, medical, clinical, regulatory, or legal applications. If you need to know the basics and wonder “Why do meta-analyses and what are the different models that can be used?” this book, starting with the preface and continuing through chapters 6 and 7, is for you. Before you get to page 42 you will learn what many don’t seem to know or remember; how to decide on the model to use up front, prior to your analysis. Dr. Borenstein will give you a solid explanation to support that fundamental principle. Refer to chapter 4 to obtain websites for this book, the software program Comprehensive Meta-Analysis, upcoming workshops, and then register your email to receive updates to remain current and competent. Finally, review the glossary in chapter 15. Now you will be ready to actively participate in your first meta-analysis team meeting using your solid, fundamentally sound foundation. If you are a seasoned professional, grounded in the basics already, you will enjoy the following chapters with discussions regarding (1) issues and myths about statistical models, (2) heterogeneity, (3) mistakes related to significance testing, (4) publication bias, (5) mistakes in subgroup analyses, (6) features of the Comprehensive Meta-Analysis software program, and (7) how to correctly report the results of an analysis. Relevant examples are presented. Study them. For a more in-depth review, the author includes ten appendices that contain supplementary material which may be helpful in providing a more comprehensive understanding of your research question or problem. Reflecting on my experience reading this book, I personally found value in (1) knowing what the 42 mistakes were, (2) the easily understood summary sections the author provides, and (3) the “Putting it all together” sections. He clarifies the issues that were previously ambiguous. The section on heterogeneity and prediction interval, an index of dispersion, was of enormous value and very practical to me. I learned what the I squared statistic correctly is and is not; it really doesn’t tell you how effects vary, despite the widespread misconception in the literature. It tells us what proportion of the variance in observed effects reflects variation in true effects, rather than sampling error. It does not tell us how much variation there is. Rely on the prediction interval instead. Finally, templates were provided to assist with reporting results that communicate clearly to my intended audience. In this life, few are given the responsibility or opportunity to change the world (or at least a piece of it where you live) by analyzing significant data correctly. Don’t model your comprehensive reviews and analyses on what others have published in the literature. Base it on the principles learned in this book. It is a 5-star, brilliantly written, expertly communicated reference that has received my highest recommendation. Avoid making the 43rd mistake by not having this as part of your library.

---

## Why Shop on Desertcart?

- 🛒 **Trusted by 1.3+ Million Shoppers** — Serving international shoppers since 2016
- 🌍 **Shop Globally** — Access 737+ million products across 21 categories
- 💰 **No Hidden Fees** — All customs, duties, and taxes included in the price
- 🔄 **15-Day Free Returns** — Hassle-free returns (30 days for PRO members)
- 🔒 **Secure Payments** — Trusted payment options with buyer protection
- ⭐ **TrustPilot Rated 4.5/5** — Based on 8,000+ happy customer reviews

**Shop now:** [https://www.desertcart.ec/products/164100678-common-mistakes-in-meta-analysis-and-how-to-avoid-them](https://www.desertcart.ec/products/164100678-common-mistakes-in-meta-analysis-and-how-to-avoid-them)

---

*Product available on Desertcart Ecuador*
*Store origin: EC*
*Last updated: 2026-03-03*