Experimental design and statistical analysis for pharmacology and the biomedical sciences / Paul J. Mitchell.
Material type: TextPublisher: Hoboken, NJ : John Wiley & Sons, Inc., 2022Description: pages cmContent type: text Media type: unmediated Carrier type: volumeISBN: 9781119437635Subject(s): Research Design | Pharmacology | Data Interpretation, StatisticalAdditional physical formats: Online version:: Experimental design and statistical analysis for pharmacology and the biomedical sciencesDDC classification: 615.1 NLM classification: QV 20.5Summary: "Appropriate experimental design coupled with robust statistical analysis of experimental data is core to experimental pharmacology. All too often, however, the teaching of experimental design and statistical analysis has been poor across the sector, leading to increased anxiety on the part of both new and experienced researchers as to whether their statistical approach is sufficiently appropriate and rigorous for publication in scientific journals. The idea for this book evolved from the realisation that a book describing the techniques of robust statistical analysis with specific reference to pharmacological data to support undergraduate teaching in pharmacology was not available. This project will produce an important learning resource for undergraduate students of pharmacology and allied subjects, their lecturers and an important reference source for early and experienced researchers alike, and has the potential to become embedded in standard teaching within 5 years"-- Provided by publisher.Item type | Current library | Home library | Shelving location | Class number | Status | Date due | Barcode | Item reservations | |
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Book | Paul Hamlyn Library | Paul Hamlyn Library | Floor 2 | 615.1 MIT (Browse shelf(Opens below)) | Available | 06825494 | |||
Book | Paul Hamlyn Library | Paul Hamlyn Library | Floor 2 | 615.1 MIT (Browse shelf(Opens below)) | Available | 06825508 | |||
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Includes bibliographical references and index.
"Appropriate experimental design coupled with robust statistical analysis of experimental data is core to experimental pharmacology. All too often, however, the teaching of experimental design and statistical analysis has been poor across the sector, leading to increased anxiety on the part of both new and experienced researchers as to whether their statistical approach is sufficiently appropriate and rigorous for publication in scientific journals. The idea for this book evolved from the realisation that a book describing the techniques of robust statistical analysis with specific reference to pharmacological data to support undergraduate teaching in pharmacology was not available. This project will produce an important learning resource for undergraduate students of pharmacology and allied subjects, their lecturers and an important reference source for early and experienced researchers alike, and has the potential to become embedded in standard teaching within 5 years"-- Provided by publisher.
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