Statistical Techniques in Bioassay

Statistical Techniques in Bioassay
Author: Z. Govindarajulu
Publisher: Karger Medical and Scientific Publishers
Total Pages: 249
Release: 2001
Genre: Science
ISBN: 3805571194

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.

The Statistics of Bioassay

The Statistics of Bioassay
Author: C. I. Bliss
Publisher: Elsevier
Total Pages: 189
Release: 2014-05-12
Genre: Medical
ISBN: 1483277011

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.

STATISTICAL THEORY AND ANALYSIS IN BIOASSAY

STATISTICAL THEORY AND ANALYSIS IN BIOASSAY
Author: Uchenna Petronilla Ogoke
Publisher: IPS Intelligentsia Publishing Services
Total Pages: 72
Release: 2021-08-21
Genre: Medical
ISBN: 9789912730

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.

Modeling and Statistical Analysis of Bioassay Data

Modeling and Statistical Analysis of Bioassay Data
Author:
Publisher:
Total Pages: 25
Release: 1992
Genre:
ISBN:

The objective of the project, to date, has been to focus on biological issues believed to be important in converting toxin dosage to pre- cancerous and cancerous cells, and to translate these into appropriate quantitative mathematical terms. In particular, models that stem from the clonal expansion mechanisms identified by Moolgavkar and co-workers, cf, sample references (1979), (1983), have been studied, generalized (to account for possible variability or susceptibility between individual fish), and adapted for fitting to actual data. It appears to be widely believed that pre-cancerous conditions in an organ (the liver) occur as a result of cell clonal expansion, followed by a promotion (to tumor) event. Specific models for this has been proposed and developed by Moolgavkar and co-workers. More recent work is by C.J. Portier and co-workers.

Statistics in Toxicology Using R

Statistics in Toxicology Using R
Author: Ludwig Hothorn
Publisher: Chapman & Hall/CRC
Total Pages: 0
Release: 2015-12-21
Genre: Programming languages (Electronic computers)
ISBN: 9781498701273

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 analysis of selected experimental data in toxicology and presents assay-specific suggestions, such as for the in vitro micronucleus assay. Mostly focusing on hypothesis testing, the book covers standardized bioassays for chemicals, drugs, and environmental pollutants. It is organized according to selected toxicological assays, including: Short-term repeated toxicity studies Long-term carcinogenicity assays Studies on reproductive toxicity Mutagenicity assays Toxicokinetic studies The book also discusses proof of safety (particularly in ecotoxicological assays), toxicogenomics, the analysis of interlaboratory studies and the modeling of dose-response relationships for risk assessment. For each toxicological problem, the author describes the statistics involved, matching data example, R code, and outcomes and their interpretation. This approach allows you to select a certain bioassay, identify the specific data structure, run the R code with the data example, understand the test outcome and interpretation, and replace the data set with your own data and run again. Supporting material for this title can be downloaded here.

Bioassays with Arthropods, Second Edition

Bioassays with Arthropods, Second Edition
Author: Jacqueline L. Robertson
Publisher: CRC Press
Total Pages: 224
Release: 2007-06-14
Genre: Science
ISBN: 9780849323317

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 completely revised and updated second edition is positioned to be the same. New in the Second Edition: · Includes new chapters on Natural Variation, Quarantine Statistics, Statistical Analysis of Data from Bioassays with Microbial Insecticides, and Pesticide Resistance · Emphasizes estimation of natural variation in response as the necessary precursor for claims of pesticide resistance, varietal differences, and differences in microbial potency · Expands the coverage of binary Quantal Response: Dose Number, Dose Selection, and Sample Size · Discusses varietal testing of horticultural exports · Introduces two Windows-based computer programs (PoloPlus and PoloEncore) for the analyses of binary and multiple response analyses, respectively Building on the foundation set by the much-cited first edition, the authors clearly delineate applications and ideas that are exceptionally challenging for those not already familiar with their use. They lead you through the methods with such ease and organization, that you suddenly find yourself readily able to apply concepts that you never thought you would understand. To order the Polo computer software described in Bioassays with Arthropods, Second Edition, use the order form found at www.leorasoftware.com or contact theLeOra Software Company at .

Modeling and Statistical Analysis of Bioassay Data

Modeling and Statistical Analysis of Bioassay Data
Author: Donald Paul Gaver
Publisher:
Total Pages: 45
Release: 1994
Genre:
ISBN:

The response of medaka liver to the chemicals DEN and TCE is analyzed statistically. The analysis illustrates the application of methods useful in environmetrics, i.e. environmental statistics. It suggests an overall dose- response effect but not an easily-interpreted dose-response functional relationship.