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Stepping In The Same River Twice Replication In Biological Research Ayelet Shavit Editor Aaron M Ellison Editor W John Kress Editor

  • SKU: BELL-50347740
Stepping In The Same River Twice Replication In Biological Research Ayelet Shavit Editor Aaron M Ellison Editor W John Kress Editor
$ 31.00 $ 45.00 (-31%)

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Stepping In The Same River Twice Replication In Biological Research Ayelet Shavit Editor Aaron M Ellison Editor W John Kress Editor instant download after payment.

Publisher: Yale University Press
File Extension: PDF
File size: 4.47 MB
Pages: 288
Author: Ayelet Shavit (editor); Aaron M. Ellison (editor); W. John Kress (editor)
ISBN: 9780300228038, 0300228031
Language: English
Year: 2018

Product desciption

Stepping In The Same River Twice Replication In Biological Research Ayelet Shavit Editor Aaron M Ellison Editor W John Kress Editor by Ayelet Shavit (editor); Aaron M. Ellison (editor); W. John Kress (editor) 9780300228038, 0300228031 instant download after payment.

An international team of biologists, philosophers, and historians of science explores the critically important process of replication in biological and biomedical research
Without replication, the trustworthiness of scientific research remains in doubt. Although replication is increasingly recognized as a central problem in many scientific disciplines, repeating the same scientific observations of experiments or reproducing the same set of analyses from existing data is remarkably difficult. In this important volume, an international team of biologists, philosophers, and historians of science addresses challenges and solutions for valid replication of research in medicine, ecology, natural history, agriculture, physiology, and computer science.
 
After the introduction to important concepts and historical background, the book offers paired chapters that provide theoretical overviews followed by detailed case studies. These studies range widely in topics, from infectious-diseases and environmental monitoring to museum collections, meta-analysis, bioinformatics, and more. The closing chapters explicate and quantify problems in the case studies, and the volume concludes with important recommendations for best practices.

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