Applied Meta-Analysis With r [Audiobook] download free by Ding Geng (Din) Chen

Applied Meta-Analysis With r Audiobook download free by Ding Geng (Din) Chen
  • Listen audiobook: Applied Meta-Analysis With r
  • Author: Ding Geng (Din) Chen
  • Release date: 2013/8/27
  • Publisher: TAYLOR & FRANCIS INC
  • Language: English
  • Genre or Collection: Computing
  • ISBN: 9781466505995
  • Rating: 9.1 of 10
  • Votes: 620
  • Review by: Perla Sommers
  • Review rating: 9.29 of 10
  • Review Date: 2018/9/21
  • Duration: 4H8M39S in 256 kbps (68.4 MB)
  • Date of creation of the audiobook: 2018-09-09
  • You can listen to this audiobook in formats: OGG, MPC, FLAC, WMA, MP3, MPEG4, Musepack, WAV (compression IMG, RAR, ZIP, TZO, Z, TZ)
  • Total pages original book: 342
  • Includes a PDF summary of 32 pages
  • Duration of the summary (audio): 24M48S (6.4 MB)
  • Description or summary of the audiobook: In biostatistical research and courses, practitioners and students often lack a thorough understanding of how to apply statistical methods to synthesize biomedical and clinical trial data. Filling this knowledge gap, Applied Meta-Analysis with R shows how to implement statistical meta-analysis methods to real data using R. Drawing on their extensive research and teaching experiences, the authors provide detailed, step-by-step explanations of the implementation of meta-analysis methods using R. Each chapter gives examples of real studies compiled from the literature. After presenting the data and necessary background for understanding the applications, various methods for analyzing meta-data are introduced. The authors then develop analysis code using the appropriate R packages and functions. This systematic approach helps readers thoroughly understand the analysis methods and R implementation, enabling them to use R and the methods to analyze their own meta-data.Suitable as a graduate-level text for a meta-data analysis course, the book is also a valuable reference for practitioners and biostatisticians (even those with little or no experience in using R) in public health, medical research, governmental agencies, and the pharmaceutical industry.
  • Other categories, genre or collection: Pharmaceutical Technology, Medical Research, Probability & Statistics, Biology, Life Sciences, Mathematical & Statistical Software, Industrial Chemistry, Pharmacology
  • Download servers: MEGA, Robust Files, Microsoft OneDrive, Google Drive, FileServe, Hotfile, 4Shared, Torlock, MyUpload, FreakShare. Compressed in IMG, RAR, ZIP, TZO, Z, TZ
  • Format: Hardback
  • Approximate value: 148.05 USD
  • Dimensions: 159x235x22.86mm
  • Weight: 680g
  • Printed by: CRC Press Inc
  • Published in: Bosa Roca, United States

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