Statistical Method in Biological Assay PDF Download

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Statistical Method in Biological Assay

Statistical Method in Biological Assay PDF Author: David John Finney
Publisher:
ISBN:
Category : Biological assay
Languages : en
Pages : 700

Book Description


Statistical Method in Biological Assay

Statistical Method in Biological Assay PDF Author: David John Finney
Publisher:
ISBN:
Category : Biological assay
Languages : en
Pages : 700

Book Description


Statistical Methods for the Analysis of Bioassay Data

Statistical Methods for the Analysis of Bioassay Data PDF Author: T.V. Mzolo
Publisher:
ISBN: 9789038640518
Category :
Languages : en
Pages : 162

Book Description


Statistical Techniques in Bioassay

Statistical Techniques in Bioassay PDF Author: Z. Govindarajulu
Publisher: Karger Medical and Scientific Publishers
ISBN: 3805571194
Category : Science
Languages : en
Pages : 249

Book Description
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.

Statistical Methods in Biology

Statistical Methods in Biology PDF Author: S.J. Welham
Publisher: CRC Press
ISBN: 1439808783
Category : Mathematics
Languages : en
Pages : 606

Book Description
Written in simple language with relevant examples, Statistical Methods in Biology: Design and Analysis of Experiments and Regression is a practical and illustrative guide to the design of experiments and data analysis in the biological and agricultural sciences. The book presents statistical ideas in the context of biological and agricultural sciences to which they are being applied, drawing on relevant examples from the authors’ experience. Taking a practical and intuitive approach, the book only uses mathematical formulae to formalize the methods where necessary and appropriate. The text features extended discussions of examples that include real data sets arising from research. The authors analyze data in detail to illustrate the use of basic formulae for simple examples while using the GenStat® statistical package for more complex examples. Each chapter offers instructions on how to obtain the example analyses in GenStat and R. By the time you reach the end of the book (and online material) you will have gained: A clear appreciation of the importance of a statistical approach to the design of your experiments, A sound understanding of the statistical methods used to analyse data obtained from designed experiments and of the regression approaches used to construct simple models to describe the observed response as a function of explanatory variables, Sufficient knowledge of how to use one or more statistical packages to analyse data using the approaches described, and most importantly, An appreciation of how to interpret the results of these statistical analyses in the context of the biological or agricultural science within which you are working. The book concludes with a guide to practical design and data analysis. It gives you the understanding to better interact with consultant statisticians and to identify statistical approaches to add value to your scientific research.

The Statistics of Bioassay

The Statistics of Bioassay PDF Author: C. I. Bliss
Publisher: Elsevier
ISBN: 1483277011
Category : Medical
Languages : en
Pages : 189

Book Description
The Statistics of Bioassay: With Special Reference to the Vitamins, Volume II focuses on the processes, reactions, principles, and approaches involved in the biological assay of vitamins. The publication first offers information on the general principles of biological assay, dosage-response curve and its error, and designs for segregating nonrandom variation. Discussions focus on replacement of missing values, randomized groups, calculation of the line, analysis of the variation about the line, comparative biological assays, analytical biological assays, and determination of activity. The text then ponders on measurement of relative potency and correction of quantitative variables. The manuscript takes a look at assays where the variation in response is a function of the dose and slope-ratio assays. Topics include microbiological assays and the slope-ratio technique, analysis of balanced slope-ratio assays, analysis of assays with an all-or-none response, and graded response with unequal variance. The publication then tackles multiple or repeated assays, including quality control in repeated assays and combination of independent assays of a single unknown. The publication is a valuable source of information for researchers interested in the biological assay of vitamins.

A Statistical Analysis of Certain Bioassay Data

A Statistical Analysis of Certain Bioassay Data PDF Author: Eloise Humez
Publisher:
ISBN:
Category :
Languages : en
Pages : 52

Book Description


Statistical Methods for the Analysis of Biomedical Data

Statistical Methods for the Analysis of Biomedical Data PDF Author: Robert F. Woolson
Publisher: John Wiley & Sons
ISBN: 111803130X
Category : Medical
Languages : en
Pages : 714

Book Description
Dieser Band behandelt eine Reihe statistischer Themen, die bei der Analyse biologischer und medizinischer Daten allgemein Anwendung finden. Diese 2. Auflage wurde komplett überarbeitet, aktualisiert und erweitert. Einige Kapitel sind neu hinzugekommen, u.a. zur multiplen linearen Regression in der biomedizinischen Forschung. Der Stoff ist so gegliedert, dass der Leser den Text unabhängig von der jeweiligen statistischen Methode leicht nach Problemstellungen durchsuchen kann. Mit zahlreichen durchgearbeiteten Beispielen, die detaillierte Lösungsangaben zu Problemen aus der Praxis liefern.

Statistics in Toxicology Using R

Statistics in Toxicology Using R PDF Author: Ludwig A. Hothorn
Publisher: CRC Press
ISBN: 1498786758
Category : Mathematics
Languages : en
Pages : 294

Book Description
The apparent contradiction between statistical significance and biological relevance has diminished the value of statistical methods as a whole in toxicology. Moreover, recommendations for statistical analysis are imprecise in most toxicological guidelines. Addressing these dilemmas, Statistics in Toxicology Using R explains the statistical analysi

Bioassays with Arthropods

Bioassays with Arthropods PDF Author: Jacqueline L. Robertson
Publisher: CRC Press
ISBN: 1420004042
Category : Mathematics
Languages : en
Pages : 224

Book Description
Providing clear examples of the use of state-of-the-art computer programs for analyses of bioassay data, Bioassays with Arthropods, Second Edition explains the statistical basis and analysis for each kind of quantal response bioassay. The first edition was a must-have reference for designing, conducting, and interpreting bioassays: this comp

Statistical Methods in Medical Research

Statistical Methods in Medical Research PDF Author: P. Armitage
Publisher:
ISBN:
Category :
Languages : en
Pages : 504

Book Description
The scope of statistics; Probability; Sampling; Statistical inference; Regression and correlation; The planning of statistical investigations; Comparison of several groups; Further analysis of variance; Further analysis of straight-line data; Multiple regression and multivariate analysis; Data editing; Further analysis of qualitatite data; Distribution-free methods; Survivorship tables; Sequential methods; Statistical methods in epidemiology; Biological assay; Appedinx tables; References; Author index; Subject index.