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CRC Press Applied Meta-Analysis with R and Stata - CRC Biostatistics

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Description

Applied Meta-Analysis with R and Stata from Chapman and Hall/CRC Biostatistics Series provides a practical, hands-on guide to meta-analysis designed for researchers, biologists, and physicians without advanced mathematics backgrounds. This self-learning text minimises complex theory whilst demonstrating real analyses, graphics, and simulations directly relevant to meta-analysis work. Unlike many competing textbooks, the book integrates R instruction seamlessly through practical examples rather than abstract demonstrations, enabling readers to grasp foundational concepts and begin applying meta-analysis techniques immediately. The Chapman and Hall/CRC approach makes sophisticated statistical methods accessible to practitioners seeking to understand meta-analysis fundamentals without extensive mathematical prerequisites, making it an ideal resource for professionals transitioning from traditional research methods to evidence synthesis.

Key Features

Applied Meta-Analysis with R and Stata integrates both programming languages to give readers practical experience with industry-standard tools used in biostatistical research.

The Chapman and Hall/CRC Biostatistics Series text emphasises hands-on learning through genuine meta-analysis examples rather than theoretical exercises, ensuring immediate practical application.

Designed for biologists and physicians, this book minimises mathematical complexity whilst maintaining rigorous statistical content, making advanced concepts comprehensible to non-mathematicians.

Real-world analyses, graphics, and simulations throughout Applied Meta-Analysis demonstrate meta-analysis concepts in actual research contexts, bridging theory and practice effectively.

The self-learning structure of this Chapman and Hall/CRC publication enables independent study without requiring supplementary advanced mathematics knowledge or formal instruction.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
31 March 2021
Listed Since
12 September 2020

Barcode

No barcode data available

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