Selwyn | Principles of Experimental Design for the Life Sciences | Buch | 978-0-8493-9461-4 | www.sack.de

Buch, Englisch, 174 Seiten, Format (B × H): 161 mm x 241 mm, Gewicht: 513 g

Selwyn

Principles of Experimental Design for the Life Sciences


1. Auflage 1996
ISBN: 978-0-8493-9461-4
Verlag: CRC Press

Buch, Englisch, 174 Seiten, Format (B × H): 161 mm x 241 mm, Gewicht: 513 g

ISBN: 978-0-8493-9461-4
Verlag: CRC Press


Let this down-to-earth book be your guide to the statistical integrity of your work. Without relying on the detailed and complex mathematical explanations found in many other statistical texts, Principles of Experimental Design for the Life Sciences teaches how to design, conduct, and interpret top-notch life science studies. Learn about the planning of biomedical studies, the principles of statistical design, sample size estimation, common designs in biological experiments, sequential clinical trials, high dimensional designs and process optimization, and the correspondence between objectives, design, and analysis. Each of these important topics is presented in an understandable and non-technical manner, free of statistical jargon and formulas.

Written by a biostatistical consultant with 25 years of experience, Principles of Experimental Design for the Life Sciences is filled with real-life examples from the author's work that you can quickly and easily apply to your own. These examples illustrate the main concepts of experimental design and cover a broad range of application areas in both clinical and nonclinical research. With this one innovative, helpful book you can improve your understanding of statistics, enhance your confidence in your results, and, at long last, shake off those statistical shackles!

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Zielgruppe


Undergraduate


Autoren/Hrsg.


Weitere Infos & Material


Introduction and Overview. Planning Biomedical Studies. Principles of Statistical Design. Sample Size Estimation. Common Designs in Biological Experimentation. Sequential Clinical Trials. High Dimensional Designs and Process Optimization. The Correspondence Between Objectives, Design, and Analysis - Revisited. Summary and Concluding Remarks. References. Appendix A: Glossary of Statistical Terms. Appendix B: Formulas for Sample Size Estimation. Index.

NTI copy (NTI was done already for the sales meeting)


Murray R. Selwyn



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