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Statistics and experimental design for toxicologists and pharmacologists / Shayne C. Gad.

By: Contributor(s): Material type: TextTextPublication details: Boca Raton, Fla. ; London : CRC, 2006.Edition: 4th edDescription: 553 pISBN:
  • 9780849322143 (hbk.) :
  • 9780849322143
Subject(s): DDC classification:
  • 615.900727 GAD
LOC classification:
  • RA1199.4.S73
Contents:
1.Introduction -- 2.Basic principles -- 3.Experimental design -- 4.Computational devices and software -- 5.Methods for data preparation -- 6.Nonparametric hypothesis testing of categorical and ranked data -- 7.Hypothesis testing: univariate parametric testing -- 8.Modeling and extrapolation -- 9.Trend analaysis -- 10.Methods for the reduction of dimensionality -- 11.Multivariate analysis -- 12.Meta-analysis -- 13.Bayesian analysis -- 14.Data analysis applications in toxicology -- 15.Carcinogenesis -- 16.Risk assessment and low-dose extrapolation -- 17.Epidemiology -- 18.Structure activity relationships -- 19.Good laboratory practices -- 20.Areas of controversty in statistics as used for toxicology.
Summary: This edition provides tools for the critical analysis of experimental data. It also gives a complete and exhaustive introduction to the statistical methods available and examines current practices. Topics covered includes Bayesian analysis and data analysis in pharmacology and receptor binding assays.
Holdings
Item type Current library Call number Copy number Status Date due Barcode
Long Loan TUS: Midlands, Main Library Athlone General Lending 615.900727 GAD (Browse shelf(Opens below)) 1 Available 00214600
Long Loan TUS: Midlands, Main Library Athlone General Lending 615.900727 GAD (Browse shelf(Opens below)) 1 Available 00214601

Previous ed.: published as Statistics and experimental design for toxicologists. Boca Ratan, Fla.: CRC Press, 1999.

Includes bibliographical references and index.

1.Introduction -- 2.Basic principles -- 3.Experimental design -- 4.Computational devices and software -- 5.Methods for data preparation -- 6.Nonparametric hypothesis testing of categorical and ranked data -- 7.Hypothesis testing: univariate parametric testing -- 8.Modeling and extrapolation -- 9.Trend analaysis -- 10.Methods for the reduction of dimensionality -- 11.Multivariate analysis -- 12.Meta-analysis -- 13.Bayesian analysis -- 14.Data analysis applications in toxicology -- 15.Carcinogenesis -- 16.Risk assessment and low-dose extrapolation -- 17.Epidemiology -- 18.Structure activity relationships -- 19.Good laboratory practices -- 20.Areas of controversty in statistics as used for toxicology.

This edition provides tools for the critical analysis of experimental data. It also gives a complete and exhaustive introduction to the statistical methods available and examines current practices. Topics covered includes Bayesian analysis and data analysis in pharmacology and receptor binding assays.

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