By Ding-Geng (Din) Chen,Karl E. Peace
In biostatistical learn and classes, practitioners and scholars usually lack a radical figuring out of ways to use statistical ways to synthesize biomedical and scientific trial information. Filling this information hole, Applied Meta-Analysis with R exhibits tips to enforce statistical meta-analysis the way to genuine info utilizing R.
Drawing on their huge learn and educating reviews, the authors offer specific, step by step factors of the implementation of meta-analysis equipment utilizing R. every one bankruptcy supplies examples of actual reports compiled from the literature. After proposing the knowledge and important heritage for knowing the functions, a number of tools for studying meta-data are brought. The authors then improve research code utilizing the proper R programs and capabilities. This systematic process is helping readers completely comprehend the research tools and R implementation, permitting them to exploit R and the how to study their very own meta-data.
Suitable as a graduate-level textual content for a meta-data research path, the ebook can be a important reference for practitioners and biostatisticians (even people with very little event in utilizing R) in public well-being, scientific learn, governmental companies, and the pharmaceutical industry.
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Applied Meta-Analysis with R (Chapman & Hall/CRC Biostatistics Series) by Ding-Geng (Din) Chen,Karl E. Peace