Dose Response Analysis Using R(1st Edition)
Authors:
Christian Ritz ,Signe Marie Jensen ,Daniel Gerhard ,Jens Carl Streibig
In Stock: 1 Left
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Expected shipping within 2 - 3 DaysPopular items with books
Total Price:
$74.9
Solution Manual Includes
Price:
$9.99
Book details
ISBN: 1138034312, 978-1138034310
Book publisher: Chapman and Hall/CRC
Book Price $74.9 : Nowadays The Term Dose-response Is Used In Many Different Contexts And Many Different Scientific Disciplines Including Agriculture, Biochemistry, Chemistry, Environmental Sciences, Genetics, Pharmacology, Plant Sciences, Toxicology, And Zoology.In The 1940 And 1950s, Dose-response Analysis Was Intimately Linked To Evaluation Of Toxicity In Terms Of Binary Responses, Such As Immobility And Mortality, With A Limited Number Of Doses Of A Toxic Compound Being Compared To A Control Group (dose 0). Later, Dose-response Analysis Has Been Extended To Other Types Of Data And To More Complex Experimental Designs. Moreover, Estimation Of Model Parameters Has Undergone A Dramatic Change, From Struggling With Cumbersome Manual Operations And Transformations With Pen And Paper To Rapid Calculations On Any Laptop. Advances In Statistical Software Have Fueled This Development.Key Features:Provides A Practical And Comprehensive Overview Of Dose-response Analysis. Includes Numerous Real Data Examples To Illustrate The Methodology. R Code Is Integrated Into The Text To Give Guidance On Applying The Methods. Written With Minimal Mathematics To Be Suitable For Practitioners. Includes Code And Datasets On The Book’s GitHub: Https://github.com/DoseResponse.This Book Focuses On Estimation And Interpretation Of Entirely Parametric Nonlinear Dose-response Models Using The Powerful Statistical Environment R. Specifically, This Book Introduces Dose-response Analysis Of Continuous, Binomial, Count, Multinomial, And Event-time Dose-response Data. The Statistical Models Used Are Partly Special Cases, Partly Extensions Of Nonlinear Regression Models, Generalized Linear And Nonlinear Regression Models, And Nonlinear Mixed-effects Models (for Hierarchical Dose-response Data). Both Simple And Complex Dose-response Experiments Will Be Analyzed.
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