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Nonclinical statistics for pharmaceutical and biotechnology industries

This book serves as a reference text for regulatory, industry and academic statisticians and also a handy manual for entry level Statisticians. Additionally it aims to stimulate academic interest in the field of Nonclinical Statistics and promote this as an important discipline in its own right. Thi...

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Detalles Bibliográficos
Autor principal: Zhang, Lanju
Lenguaje:eng
Publicado: Springer 2016
Materias:
Acceso en línea:https://dx.doi.org/10.1007/978-3-319-23558-5
http://cds.cern.ch/record/2128126
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author Zhang, Lanju
author_facet Zhang, Lanju
author_sort Zhang, Lanju
collection CERN
description This book serves as a reference text for regulatory, industry and academic statisticians and also a handy manual for entry level Statisticians. Additionally it aims to stimulate academic interest in the field of Nonclinical Statistics and promote this as an important discipline in its own right. This text brings together for the first time in a single volume a comprehensive survey of methods important to the nonclinical science areas within the pharmaceutical and biotechnology industries. Specifically the Discovery and Translational sciences, the Safety/Toxiology sciences, and the Chemistry, Manufacturing and Controls sciences. Drug discovery and development is a long and costly process. Most decisions in the drug development process are made with incomplete information. The data is rife with uncertainties and hence risky by nature. This is therefore the purview of Statistics. As such, this book aims to introduce readers to important statistical thinking and its application in these nonclinical areas. The chapters provide as appropriate, a scientific background to the topic, relevant regulatory guidance, current statistical practice, and further research directions.
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spelling cern-21281262021-04-21T19:49:04Zdoi:10.1007/978-3-319-23558-5http://cds.cern.ch/record/2128126engZhang, LanjuNonclinical statistics for pharmaceutical and biotechnology industriesMathematical Physics and MathematicsThis book serves as a reference text for regulatory, industry and academic statisticians and also a handy manual for entry level Statisticians. Additionally it aims to stimulate academic interest in the field of Nonclinical Statistics and promote this as an important discipline in its own right. This text brings together for the first time in a single volume a comprehensive survey of methods important to the nonclinical science areas within the pharmaceutical and biotechnology industries. Specifically the Discovery and Translational sciences, the Safety/Toxiology sciences, and the Chemistry, Manufacturing and Controls sciences. Drug discovery and development is a long and costly process. Most decisions in the drug development process are made with incomplete information. The data is rife with uncertainties and hence risky by nature. This is therefore the purview of Statistics. As such, this book aims to introduce readers to important statistical thinking and its application in these nonclinical areas. The chapters provide as appropriate, a scientific background to the topic, relevant regulatory guidance, current statistical practice, and further research directions.Springeroai:cds.cern.ch:21281262016
spellingShingle Mathematical Physics and Mathematics
Zhang, Lanju
Nonclinical statistics for pharmaceutical and biotechnology industries
title Nonclinical statistics for pharmaceutical and biotechnology industries
title_full Nonclinical statistics for pharmaceutical and biotechnology industries
title_fullStr Nonclinical statistics for pharmaceutical and biotechnology industries
title_full_unstemmed Nonclinical statistics for pharmaceutical and biotechnology industries
title_short Nonclinical statistics for pharmaceutical and biotechnology industries
title_sort nonclinical statistics for pharmaceutical and biotechnology industries
topic Mathematical Physics and Mathematics
url https://dx.doi.org/10.1007/978-3-319-23558-5
http://cds.cern.ch/record/2128126
work_keys_str_mv AT zhanglanju nonclinicalstatisticsforpharmaceuticalandbiotechnologyindustries