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A handbook of applied statistics in ...
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Kobayashi, Katsumi.
A handbook of applied statistics in pharmacology
Record Type:
Language materials, printed : Monograph/item
Title/Author:
A handbook of applied statistics in pharmacology/ Katsumi Kobayashi, K. Sadasivan Pillai.
Author:
Kobayashi, Katsumi.
other author:
Pillai, K. Sadasivan.
Published:
Boca Raton, Florida :Science Publishers, : c2012.,
Description:
1 online resource.
基督教聖經之智慧書導讀 :
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.
Subject:
Statistics as Topic - Handbooks. - methods -
Online resource:
http://www.crcnetbase.com/isbn/9781466515406
ISBN:
9781466515406
A handbook of applied statistics in pharmacology
Kobayashi, Katsumi.
A handbook of applied statistics in pharmacology
[electronic resource] /Katsumi Kobayashi, K. Sadasivan Pillai. - Boca Raton, Florida :Science Publishers,c2012. - 1 online resource.
Includes bibliographical references and index.
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 -- Trend tests -- 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?
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.
ISBN: 9781466515406Subjects--Topical Terms:
382146
Statistics as Topic
--methods--Handbooks.Index Terms--Genre/Form:
243439
Handbooks.
LC Class. No.: RM300 / .K63 2012eb
Dewey Class. No.: 615.1
National Library of Medicine Call No.: QV 38
A handbook of applied statistics in pharmacology
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c2012.
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Includes bibliographical references and index.
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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 -- Trend tests -- 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?
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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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http://www.crcnetbase.com/isbn/9781466515406
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