| Dewey Class |
519.5 |
| Title |
Nonclinical Statistics for Pharmaceutical and Biotechnology Industries ([EBook]) / edited by Lanju Zhang. |
| Added Personal Name |
Zhang, Lanju editor. |
| Other name(s) |
SpringerLink (Online service) |
| Edition statement |
1st ed. 2016. |
| Publication |
Cham : : Springer International Publishing : : Imprint: Springer, , 2016. |
| Physical Details |
XXII, 698 p. 144 illus., 113 illus. in color. : online resource. |
| Series |
Statistics for Biology and Health 1431-8776 |
| ISBN |
9783319235585 |
| Summary Note |
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.: |
| Contents note |
Introduction to Nonclinical Statistics for Pharmaceutical and Biotechnology Industries -- Regulatory Nonclinical Statistics -- How to be a good nonclinical statistician -- Statistical Methods for Drug Discovery -- High-throughput Screening Data Analysis -- Quantitative-Structure Activity Relationship Modeling and Cheminformatics -- GWAS for Drug Discovery -- Statistical applications in Design and Analysis of In-Vitro Safety Screening Assays -- Nonclinical safety assessment: an introduction for statisticians -- General Toxicology, Safety Pharmacology, Reproductive Toxicology and Juvenile Toxicology Studies -- Clinical Assays for Biological Macromolecules -- Recent Research Projects by FDA's Pharmacology and Toxicology Statistics Team -- Design and evaluation of drug combination studies -- Biomarkers -- Overview of Drug Development and Statistical Tools for Manufacturing and Testing -- Assay Validation -- Lifecycle Approach to Bioassay -- Quality by Design: Building Quality into Products and Processes -- Process Validation -- Acceptance Sampling -- Process Capability and Statistical Process Control -- Statistical Considerations for Stability and the Estimation of Shelf Life.- In Vitro Dissolution Testing: Statistical Approaches and Issues -- Assessing Content Uniformity -- Chemometrics and Predictive Modelling -- Statistical Methods for Comparability Studies. |
| System details note |
Online access to this digital book is restricted to subscription institutions through IP address (only for SISSA internal users) |
| Internet Site |
http://dx.doi.org/10.1007/978-3-319-23558-5 |
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