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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


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 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.

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.

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 THEORY AND ANALYSIS IN BIOASSAY

STATISTICAL THEORY AND ANALYSIS IN BIOASSAY PDF Author: Uchenna Petronilla Ogoke
Publisher: IPS Intelligentsia Publishing Services
ISBN: 9789912730
Category : Medical
Languages : en
Pages : 72

Book Description
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.

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


Statistics in Toxicology Using R

Statistics in Toxicology Using R PDF Author: Ludwig Hothorn
Publisher: Chapman & Hall/CRC
ISBN: 9781498701273
Category : Programming languages (Electronic computers)
Languages : en
Pages : 0

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 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 PDF Author: Jacqueline L. Robertson
Publisher: CRC Press
ISBN: 9780849323317
Category : Science
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 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 PDF Author: Donald Paul Gaver
Publisher:
ISBN:
Category :
Languages : en
Pages : 45

Book Description
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.

Small Clinical Trials

Small Clinical Trials PDF Author: Institute of Medicine
Publisher: National Academies Press
ISBN: 0309171148
Category : Medical
Languages : en
Pages : 221

Book Description
Clinical trials are used to elucidate the most appropriate preventive, diagnostic, or treatment options for individuals with a given medical condition. Perhaps the most essential feature of a clinical trial is that it aims to use results based on a limited sample of research participants to see if the intervention is safe and effective or if it is comparable to a comparison treatment. Sample size is a crucial component of any clinical trial. A trial with a small number of research participants is more prone to variability and carries a considerable risk of failing to demonstrate the effectiveness of a given intervention when one really is present. This may occur in phase I (safety and pharmacologic profiles), II (pilot efficacy evaluation), and III (extensive assessment of safety and efficacy) trials. Although phase I and II studies may have smaller sample sizes, they usually have adequate statistical power, which is the committee's definition of a "large" trial. Sometimes a trial with eight participants may have adequate statistical power, statistical power being the probability of rejecting the null hypothesis when the hypothesis is false. Small Clinical Trials assesses the current methodologies and the appropriate situations for the conduct of clinical trials with small sample sizes. This report assesses the published literature on various strategies such as (1) meta-analysis to combine disparate information from several studies including Bayesian techniques as in the confidence profile method and (2) other alternatives such as assessing therapeutic results in a single treated population (e.g., astronauts) by sequentially measuring whether the intervention is falling above or below a preestablished probability outcome range and meeting predesigned specifications as opposed to incremental improvement.