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A Handbook of Applied Statistics in Pharmacology

Autor Katsumi Kobayashi, K. Sadasivan Pillai
en Limba Engleză Hardback – 18 oct 2012
Statistics plays an important role in pharmacology and related subjects such as toxicology and drug discovery and development. Improper statistical tool selection to analyze the data obtained from studies conducted in these subjects may result in wrongful interpretation of the performance- or safety- of drugs. This book has communicates statistical tools in simple language. The examples used in the book are similar to those that the scientists encounter regularly in their research area. The authors have provided cognitive clues for selection of an appropriate statistical tool to analyse the data obtained from the studies and how to interpret the result of the statistical analysis.
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Specificații

ISBN-13: 9781578087525
ISBN-10: 157808752X
Pagini: 230
Ilustrații: 2 color images
Dimensiuni: 156 x 234 x 18 mm
Greutate: 0.45 kg
Ediția:New.
Editura: CRC Press
Colecția CRC Press
Locul publicării:Boca Raton, United States

Cuprins

Probability. Distribution. Mean, Mode, Median. Variance, Standard Deviation, Standard Error, Coefficient of Variation. Analysis of Normality and Homogeneity of Variance. Transformation of Data and Outliers. Tests for Significant Differences. t-Tests. Correlation Analysis. Regression Analysis. Multivariate Analysis. Non-Parametric Tests. Cluster Analysis. TrendTests. Survival Analysis. Dose Response Relationships. Analysis of pathology Data. Designing An Animal Experiment in Pharmacology and Toxicology-Randomization, Determining Sample Size. How to Select an Appropriate Statistical Tool?

Notă biografică

Katsumi Kobayashi, K. Sadasivan Pillai

Descriere

Statistics plays an important role in pharmacology and related subjects such as toxicology and drug discovery and development. Improper statistical tool selection for analyzing the data obtained from studies may result in wrongful interpretation of the performance or safety of drugs. This book communicates statistical tools in simple language. The examples used are similar to those that scientists encounter regularly in their research area. The authors provide cognitive clues for selection of appropriate tools to analyze the data obtained from the studies and explain how to interpret the result of the statistical analysis.