Dose Response Analysis Using R

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Dose Response Analysis Using R
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Author : Christian Ritz
language : en
Publisher: CRC Press
Release Date : 2019-07-19
Dose Response Analysis Using R written by Christian Ritz and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-07-19 with Mathematics categories.
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.
Nonlinear Regression With R
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Author : Christian Ritz
language : en
Publisher: Springer Science & Business Media
Release Date : 2008-12-11
Nonlinear Regression With R written by Christian Ritz and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-12-11 with Mathematics categories.
- Coherent and unified treatment of nonlinear regression with R. - Example-based approach. - Wide area of application.
Dose Response Analysis Using R
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Author : Christian Ritz
language : en
Publisher: CRC Press
Release Date : 2019-07-19
Dose Response Analysis Using R written by Christian Ritz and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-07-19 with Mathematics categories.
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.
Handbook Of Meta Analysis
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Author : Christopher H. Schmid
language : en
Publisher: CRC Press
Release Date : 2020-09-08
Handbook Of Meta Analysis written by Christopher H. Schmid and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-09-08 with Mathematics categories.
Meta-analysis is the application of statistics to combine results from multiple studies and draw appropriate inferences. Its use and importance have exploded over the last 25 years as the need for a robust evidence base has become clear in many scientific areas, including medicine and health, social sciences, education, psychology, ecology, and economics. Recent years have seen an explosion of methods for handling complexities in meta-analysis, including explained and unexplained heterogeneity between studies, publication bias, and sparse data. At the same time, meta-analysis has been extended beyond simple two-group comparisons of continuous and binary outcomes to comparing and ranking the outcomes from multiple groups, to complex observational studies, to assessing heterogeneity of effects, and to survival and multivariate outcomes. Many of these methods are statistically complex and are tailored to specific types of data. Key features Rigorous coverage of the full range of current statistical methodology used in meta-analysis Comprehensive, coherent, and unified overview of the statistical foundations behind meta-analysis Detailed description of the primary methods for both univariate and multivariate data Computer code to reproduce examples in chapters Thorough review of the literature with thousands of references Applications to specific types of biomedical and social science data This book is for a broad audience of graduate students, researchers, and practitioners interested in the theory and application of statistical methods for meta-analysis. It is written at the level of graduate courses in statistics, but will be of interest to and readable for quantitative scientists from a range of disciplines. The book can be used as a graduate level textbook, as a general reference for methods, or as an introduction to specialized topics using state-of-the art methods.
Bayesian Methods In Pharmaceutical Research
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Author : Emmanuel Lesaffre
language : en
Publisher: CRC Press
Release Date : 2020-04-15
Bayesian Methods In Pharmaceutical Research written by Emmanuel Lesaffre and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-04-15 with Medical categories.
Since the early 2000s, there has been increasing interest within the pharmaceutical industry in the application of Bayesian methods at various stages of the research, development, manufacturing, and health economic evaluation of new health care interventions. In 2010, the first Applied Bayesian Biostatistics conference was held, with the primary objective to stimulate the practical implementation of Bayesian statistics, and to promote the added-value for accelerating the discovery and the delivery of new cures to patients. This book is a synthesis of the conferences and debates, providing an overview of Bayesian methods applied to nearly all stages of research and development, from early discovery to portfolio management. It highlights the value associated with sharing a vision with the regulatory authorities, academia, and pharmaceutical industry, with a view to setting up a common strategy for the appropriate use of Bayesian statistics for the benefit of patients. The book covers: Theory, methods, applications, and computing Bayesian biostatistics for clinical innovative designs Adding value with Real World Evidence Opportunities for rare, orphan diseases, and pediatric development Applied Bayesian biostatistics in manufacturing Decision making and Portfolio management Regulatory perspective and public health policies Statisticians and data scientists involved in the research, development, and approval of new cures will be inspired by the possible applications of Bayesian methods covered in the book. The methods, applications, and computational guidance will enable the reader to apply Bayesian methods in their own pharmaceutical research.
Science And Decisions
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Author : National Research Council
language : en
Publisher: National Academies Press
Release Date : 2009-03-24
Science And Decisions written by National Research Council and has been published by National Academies Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-03-24 with Political Science categories.
Risk assessment has become a dominant public policy tool for making choices, based on limited resources, to protect public health and the environment. It has been instrumental to the mission of the U.S. Environmental Protection Agency (EPA) as well as other federal agencies in evaluating public health concerns, informing regulatory and technological decisions, prioritizing research needs and funding, and in developing approaches for cost-benefit analysis. However, risk assessment is at a crossroads. Despite advances in the field, risk assessment faces a number of significant challenges including lengthy delays in making complex decisions; lack of data leading to significant uncertainty in risk assessments; and many chemicals in the marketplace that have not been evaluated and emerging agents requiring assessment. Science and Decisions makes practical scientific and technical recommendations to address these challenges. This book is a complement to the widely used 1983 National Academies book, Risk Assessment in the Federal Government (also known as the Red Book). The earlier book established a framework for the concepts and conduct of risk assessment that has been adopted by numerous expert committees, regulatory agencies, and public health institutions. The new book embeds these concepts within a broader framework for risk-based decision-making. Together, these are essential references for those working in the regulatory and public health fields.
10 Steps To Develop Great Learners
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Author : John Hattie
language : en
Publisher: Routledge
Release Date : 2022-04-07
10 Steps To Develop Great Learners written by John Hattie and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-04-07 with Education categories.
What can concerned parents and carers do to ensure their children, of all ages, develop great learning habits which will help them achieve their maximum at school and in life? This is probably one of the most important questions any parent can ask and now John Hattie, one of the most respected and renowned Education researchers in the world draws on his globally famous Visible Learning research to provide some answers. Writing this book with his own son Kyle, himself a respected teacher, the Hatties offer a 10-step plan to nurturing curiosity and intellectual ambition and providing a home environment that encourages and values learning. These simple steps based on the strongest of research evidence and packed full of practical advice can be followed by any parent or carer to support and enhance learning and maximize the potential of their children. Areas covered include: Communicating effectively with teachers Being the ‘first learner’ and demonstrating openness to new ideas and thinking Choosing the right school for your child Promoting the ‘language of learning’ Having appropriately high expectations and understanding the power of feedback Anyone concerned about the education and development of our children should read this book. For parents it is an essential guide that could make a vital difference to your child's life. For schools, school leaders and education authorities this is a book you should be encouraging every parent to read to support learning and maximize opportunities for all.
Drug Synergism And Dose Effect Data Analysis
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Author : Ronald J. Tallarida
language : en
Publisher: CRC Press
Release Date : 2000-07-21
Drug Synergism And Dose Effect Data Analysis written by Ronald J. Tallarida and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000-07-21 with Mathematics categories.
Not since this author's bestselling Manual of Pharmacologic Calculation has there been an available reference for drug data analysis. Incorporating the most relevant parts of that work, Drug Synergism and Dose-Effect Data Analysis focuses on drug combinations and all the quantitative analyses needed to analyze drug combination dose-effect data and to design experiments with two or more compounds. The book contains the statistical methods, the theory, and the computation algorithms needed to analyze single and combination drug data. Numerous examples accompany a presentation that illustrates the calculations and experimental design considerations for modern drug analysis.
Fitting Models To Biological Data Using Linear And Nonlinear Regression
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Author : Harvey Motulsky
language : en
Publisher: Oxford University Press
Release Date : 2004-05-27
Fitting Models To Biological Data Using Linear And Nonlinear Regression written by Harvey Motulsky and has been published by Oxford University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-05-27 with Mathematics categories.
Most biologists use nonlinear regression more than any other statistical technique, but there are very few places to learn about curve-fitting. This book, by the author of the very successful Intuitive Biostatistics, addresses this relatively focused need of an extraordinarily broad range of scientists.
Basic Clinical Radiobiology
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Author : Michael C. Joiner
language : en
Publisher: CRC Press
Release Date : 2018-08-28
Basic Clinical Radiobiology written by Michael C. Joiner and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-08-28 with Medical categories.
Basic Clinical Radiobiology is a concise but comprehensive textbook setting out the essentials of the science and clinical application of radiobiology for those seeking accreditation in radiation oncology, clinical radiation physics, and radiation technology. Fully revised and updated to keep abreast of current developments in radiation biology and radiation oncology, this fifth edition continues to present in an interesting way the biological basis of radiation therapy, discussing the basic principles and significant developments that underlie the latest attempts to improve the radiotherapeutic management of cancer. This new edition is highly illustrated with attractive 2-colour presentation and now includes new chapters on stem cells, tissue response and the convergence of radiotherapy, radiobiology, and physics. It will be invaluable for FRCR (clinical oncology) and equivalent candidates, SpRs (and equivalent) in radiation oncology, practicing radiation oncologists and radiotherapists, as well as radiobiologists and radiotherapy physicists.