By Ding-Geng (Din) Chen,Karl E. Peace
In biostatistical learn and classes, practitioners and scholars frequently lack a radical figuring out of the way to use statistical ways to synthesize biomedical and medical trial info. Filling this information hole, Applied Meta-Analysis with R indicates the best way to enforce statistical meta-analysis the right way to genuine facts utilizing R.
Drawing on their wide examine and educating reports, the authors supply special, step by step causes of the implementation of meta-analysis tools utilizing R. each one bankruptcy supplies examples of genuine reviews compiled from the literature. After featuring the information and valuable heritage for figuring out the functions, a number of equipment for studying meta-data are brought. The authors then enhance research code utilizing the precise R programs and services. This systematic method is helping readers completely comprehend the research equipment and R implementation, allowing them to exploit R and the tips on how to research their very own meta-data.
Suitable as a graduate-level textual content for a meta-data research direction, the booklet is usually a invaluable reference for practitioners and biostatisticians (even people with very little adventure in utilizing R) in public well-being, scientific examine, governmental enterprises, 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