Dose-Response Analysis Using R

Forsideomslag
CRC Press, 19. jul. 2019 - 226 sider

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.

 

Udvalgte sider

Indhold

Preface
Continuous data
Binary and binomial doseresponse data

Andre udgaver - Se alle

Dose-Response Analysis Using R
Christian Ritz,Signe Marie Jensen,Daniel Gerhard,Jens Carl Streibig
Begrænset visning - 2019
Dose-Response Analysis with R
Christian Ritz,Signe Marie Jensen,Daniel Gerhard,Jens Carl Streibig
Ingen forhåndsvisning - 2019
Dose-Response Analysis Using R
Christian Ritz,Signe Marie Jensen,Daniel Gerhard,Jens Carl Streibig
Ingen forhåndsvisning - 2021

Almindelige termer og sætninger

aconiazide approach arbovirus argument assumed assumption auxin backgType benchmark dose bentazone binomial data binomial response biomass BMD BMDL bootstrap codes conc concentrations confidence intervals counts curveid dataset defined delta method dose-response analysis dose-response model function e:(Intercept echovirus ED50 as parameter effective doses Error t-value p-value Estimate Std estimated BMDL Estimated effective doses estimated standard errors experiment exponential decay Figure fitted dose-response curve four-parameter log-logistic model germination glyphosate herbicide hormesis hormesis models Log-logistic ED50 log-logistic model fitted logarithm logistic regression lower limit matrix model averaging model parameters nonlinear regression normal distribution observed obtained package parameter estimates parms Poisson distribution predicted random effects Random-Effects Model replicates residual plot Residual standard error response values Ritz Signif specified standard errors statistical Streibig sub-experiment Subsection summary output three-parameter log-logistic model treatment two-parameter log-logistic model upper limit variables variance-covariance matrix variation Weibull type weights xlab xlim ylab ylim

Om forfatteren (2019)

Christian Ritz is an Associate Professor at the University of Copenhagen, Denmark.

Signe M. Jensen is an Assistant Professor at the University of Copenhagen, Denmark.

Daniel Gerhard is a Senior Lecturer at the University of Caterbury, New Zealand.

Jens Carl Streibig is Professor Emeritus at the University of Copenhagen, Denmark.

Bibliografiske oplysninger

TitelDose-Response Analysis Using R
Chapman & Hall/CRC The R Series
ForfattereChristian Ritz, Signe Marie Jensen, Daniel Gerhard, Jens Carl Streibig
Udgaveillustreret
UdgiverCRC Press, 2019
ISBN135198103X, 9781351981033
Længde226 sider
  
Eksporter henvisningBiBTeX EndNote RefMan