Click Here to Download: https://ouo.io/iDtByBf Dose-Response Analysis Using R By: Christian Ritz; Signe Marie Jensen; Daniel Gerhard; Jens Carl Streibig Publisher: Chapman & Hall Print ISBN: 9781138034310, 1138034312 eText ISBN: 9781351981033, 135198103X Edition: 1st Copyright year: 2019 Format: EPUB Available from $ 39.98 USD SKU 9781351981033R90 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.
Coupon Multilogin 50%-60% siêu HOT Trình duyệt hỗ trợ fake IP, fake device, fake profile mạnh nhất – dùng Multilogin 1-st antidetect browser on the market! / Best browser for fake IP/device/profile – choose Multilogin 1-st antidetect browser on the market! Mua Multilogin qua link này sẽ được tặng tool tự động hoá xịn nhất cho Multilogin (Buy via this link and receive the best FREE automation tool for Multilogin) You have as many hours in a day as the people you admire most.
Share coupon Multilogin giảm ngay 50%-60% Dùng thử Multilogin 1-st antidetect browser on the market để biết tại sao hàng triệu người tin dùng! Free trial + giảm 50%! / Try Multilogin 1-st antidetect browser on the market and see why millions trust it – free trial + 50% off! Tặng tool tự động hoá điều khiển Multilogin cho khách hàng mới (Get a free Automation Control Tool for new Multilogin users) Happiness is a journey, not a destination.
