[PDF] Statistical Method In Biological Assay Dj Finney eBook

Author : Z. Govindarajulu
Publisher : Karger Medical and Scientific Publishers
Page : 249 pages
File Size : 20,54 MB
Release : 2001
Category : Science
ISBN : 3805571194

GET BOOK

In the face of the ever-increasing importance of statistical methods in medical research and practice, the first edition of this publication has provided a sound and deep understanding of statistical methods in bioassay to many students and researchers. In addition to the profound presentation of statistical methods of the first edition, here the reader will find new material stemming from the recent statistical literature as well as data reflecting modern trends in general applied statistical research. Examples are discussions on design and planning, e.g. choices of dose levels, and additional section in the chapter on Bayes methods, and a new chapter on sequential estimation for the logistic model. The book will be a valuable source of information to students in the experimental area of statistical aspects of biological assay, professional statisticians with an interest in research in this topic, teachers in statistics and biology, and investigators in the biological and medical sciences who use bioassay in their work.

Author : Charles Ralph Buncher
Publisher : CRC Press
Page : 606 pages
File Size : 31,66 MB
Release : 1993-11-17
Category : Mathematics
ISBN : 9780824790738

GET BOOK

This rewritten and updated second edition provides comprehensive information on the wide-ranging applications of statistics in the pharmacological field. Focusing on practical aspects, it sets out to bridge the gap between industry and academia.;Reflecting the changes that have taken place since publication of the first edition, this volume covers new topics such as: cancer clinical trials, clinical trials of AIDS patients and animal tumorigenicity studies; the development of antiepileptic drugs; the role of epidemiology in postmarketing trials and adverse drug experience; computer-assisted new drug application (CANDA) submissions; contract research organizations; interim analysis in clinical trials; and room-temperature tests for the stability of drugs.;This work is intended as: a reference for statisticians, biostatisticians, pharmacologists, administrators, managers, and scientists in the pharmaceutical industry; and a text for graduate students taking courses in applied statistics or pharmaceutical statistics.

Author : Uchenna Petronilla Ogoke
Publisher : IPS Intelligentsia Publishing Services
Page : 72 pages
File Size : 44,66 MB
Release : 2021-08-21
Category : Medical
ISBN : 9789912730

GET BOOK

Statistical Theory and Analysis in Bioassay is a seven chapter monograph tailored essentially to meet the needs of graduate students, practitioners and researchers in the fields of medicine, pharmacology, biosciences/life sciences and related fields that employs the tools of biostatistics in bioassays and analysis. In this wise, we have taken time to discuss in details relevant topics; principles, methods and applications. Practice exercises are also included where necessary. The earlier chapters give background information, definition of terms, purpose, types, structure and relative potency in bioassay. An important theorem, Fieller’s theorem is proved in details with illustrative examples. The last two chapters are on dose-response relationship, fitting in parallelline assays and estimation. We are convinced that this monograph will meet the expectations of the readers while constructive criticisms that will improve another edition will be appreciated.

Author : David J. Finney
Publisher : Charles Griffin Book
Page : 522 pages
File Size : 20,1 MB
Release : 1987
Category : Biological assay.
ISBN : 9780195205671

GET BOOK

A standard work for 30 years, this book emphasizes experimental design and the practice of statistical estimation, making it especially valuable for those working as consultants in research and technology. The author describes the central statistical procedures for radioimmunoassay, and presents new ideas on the combination of bioassay results. He describes routine assay computations and illustrates recently developed programs for quantitative and quantal responses.