Dose-Response Analysis Using R - Chapman & Hall/CRC the R Series / (Record no. 40670)

MARC details
000 -LEADER
fixed length control field 03161nam a22003377a 4500
003 - CONTROL NUMBER IDENTIFIER
control field CUTN
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20231204120752.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 231204b |||||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781138034310
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781032091815
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781315270098
041 ## - LANGUAGE CODE
Language English
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Edition number 23
Classification number 615.1
Item number RIT
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Ritz, Christian.
240 ## - UNIFORM TITLE
Uniform title <a href="Dose-Response Analysis Using R - Chapman & Hall/CRC the R Series">Dose-Response Analysis Using R - Chapman & Hall/CRC the R Series</a>
245 ## - TITLE STATEMENT
Title Dose-Response Analysis Using R - Chapman & Hall/CRC the R Series /
Statement of responsibility, etc Christian Ritz.
250 ## - EDITION STATEMENT
Edition statement 1st ed.
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc Florida :
Name of publisher, distributor, etc CRC Press,
Date of publication, distribution, etc 2020.
300 ## - PHYSICAL DESCRIPTION
Extent xii, 213 p. :
Other physical details ill. ;
Dimensions 22 cm.
505 ## - FORMATTED CONTENTS NOTE
Contents Continuous data<br/><br/>Binary and binomial dose-response data<br/><br/>Count dose-response data<br/><br/>Multinomial dose-response data<br/><br/>Time-to-event-response data<br/><br/>Benchmark dose estimation<br/><br/>Hierarchical nonlinear models<br/><br/>Appendix A: Estimation<br/><br/>Appendix B: Dose-response model functions<br/><br/>Appendix C: More R Code<br/><br/>Bibliography, Index
520 ## - SUMMARY, ETC.
Summary, etc 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.<br/><br/>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.<br/><br/>Key Features:<br/><br/>Provides a practical and comprehensive overview of dose-response analysis.<br/>Includes numerous real data examples to illustrate the methodology.<br/>R code is integrated into the text to give guidance on applying the methods.<br/>Written with minimal mathematics to be suitable for practitioners.<br/>Includes code and datasets on the book's GitHub: https://github.com/DoseResponse.<br/>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.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element binomial dose-response data
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element pharmacology
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element chemistry
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element nonlinear models
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Time-to-event-response data
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Jensen, Signe Marie.
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Gerhard, Daniel.
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Streibig, Jens Carl.
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Text Books
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Home library Location Shelving location Date of Cataloging Total Checkouts Full call number Barcode Date last seen Price effective from Koha item type
    Dewey Decimal Classification     Non-fiction CUTN Central Library CUTN Central Library Medicine, Technology & Management 04/12/2023   615.1 RIT 47703 04/12/2023 04/12/2023 Text Books

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