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Spatio-Temporal Methods in Environmental Epidemiology - James V. (university Of British Columbia Zidek - Bog - Taylor & Francis Inc - Plusbog.dk

Spatio-Temporal Methods in Environmental Epidemiology - James V. (university Of British Columbia Zidek - Bog - Taylor & Francis Inc - Plusbog.dk

Teaches Students How to Perform Spatio-Temporal Analyses within Epidemiological Studies Spatio-Temporal Methods in Environmental Epidemiology is the first book of its kind to specifically address the interface between environmental epidemiology and spatio-temporal modeling. In response to the growing need for collaboration between statisticians and environmental epidemiologists, the book links recent developments in spatio-temporal methodology with epidemiological applications. Drawing on real-life problems, it provides the necessary tools to exploit advances in methodology when assessing the health risks associated with environmental hazards. The book’s clear guidelines enable the implementation of the methodology and estimation of risks in practice. Designed for graduate students in both epidemiology and statistics, the text covers a wide range of topics, from an introduction to epidemiological principles and the foundations of spatio-temporal modeling to new research directions. It describes traditional and Bayesian approaches and presents the theory of spatial, temporal, and spatio-temporal modeling in the context of its application to environmental epidemiology. The text includes practical examples together with embedded R code, details of specific R packages, and the use of other software, such as WinBUGS/OpenBUGS and integrated nested Laplace approximations (INLA). A supplementary website provides additional code, data, examples, exercises, lab projects, and more. Representing a major new direction in environmental epidemiology, this book—in full color throughout—underscores the increasing need to consider dependencies in both space and time when modeling epidemiological data. Students will learn how to identify and model patterns in spatio-temporal data as well as exploit dependencies over space and time to reduce bias and inefficiency.

DKK 958.00
3

Fundamentals of Microfluidics and Lab on a Chip for Biological Analysis and Discovery - Paul C.h. Li - Bog - Taylor & Francis Inc - Plusbog.dk

Fundamentals of Microfluidics and Lab on a Chip for Biological Analysis and Discovery - Paul C.h. Li - Bog - Taylor & Francis Inc - Plusbog.dk

Lab-on-a-chip technology permits us to make many important discoveries that can only be observed at the microscale or the nanoscale. Using this technology, biological and biochemical analyses translate into greater sensitivity, more accurate results, and more valuable findings. Authored by one of the field’s pioneering researchers, Fundamentals of Microfluidics and Lab on a Chip for Biological Analysis and Discovery focuses on all key aspects of microfluidic lab-on-a-chip technologies to offer an exceptionally cohesive overview of the science, its limitations, breakthroughs made over the years, and currently emerging advances. The book emphasizes analytical applications of microfluidic technology and offers in-depth coverage of micromachining methods, microfluidic operations, chemical separations, sample preparation and injection methods, detection technology, and various chemical and biological analyses. Other topics of interest include the use of polymeric chips, fluid flow valve and control, single-cell analysis, DNA and RNA amplification techniques, DNA hybridization, immunoassays, and enzymatic assays. The book includes more than 300 figures that depict novel chip functions and breakthroughs and 16 tables summarize materials and refer readers to additional resources. An appendix compiles extensive analytical applications from emerging and established research groups. Beginners in the field will find the book useful for navigating the vast literature related to the technology, while experienced researchers will rely on the compiled information for easy comparison and references for further study. Derived from the highly popular Microfluidic Lab-on-a-Chip for Chemical and Biological Analysis and Discovery (2006), this volume is also readily adaptable for classroom use. Problem sets in each chapter help students test their assimilation of the material and clarify challenging concepts. The book contains a comprehensive glossary, a complete index, and extensive references. A solutions manual is available with qualifying course adoption.

DKK 759.00
3

Teaching Science Online - Practical Guidance for Effective Instruction and Lab Work - Bog - Hardback

Crime Scene Investigation Laboratory Workbook - Patrick Jones - Bog - Taylor & Francis Inc - Plusbog.dk

Forensic Science Laboratory Techniques Workbook - Patrick Jones - Bog - Taylor & Francis Inc - Plusbog.dk

Fundamentals of Glacier Dynamics - Bog af C.J. (University of Kansas van der Veen - Hardback

Green Chemistry Laboratory Manual for General Chemistry - Sally A. Henrie - Bog - Taylor & Francis Inc - Plusbog.dk

Green Chemistry Laboratory Manual for General Chemistry - Sally A. Henrie - Bog - Taylor & Francis Inc - Plusbog.dk

Green chemistry involves designing novel ways to create and synthesize products and implement processes that will eliminate or greatly reduce negative environmental impacts. The Green Chemistry Laboratory Manual for General Chemistry provides educational laboratory materials that challenge students with the customary topics found in a general chemistry laboratory manual, while encouraging them to investigate the practice of green chemistry. Following a consistent format, each lab experiment begins with objectives and prelab questions highlighting important issues that must be understood prior to getting started. This is followed by detailed step-by-step procedures for performing the experiments. Students report specific results in sections designated for data, observations, and calculations. Once each experiment is completed, analysis questions test students’ comprehension of the results. Additional questions encourage inquiry-based investigations and further research about how green chemistry principles compare with traditional, more hazardous experimental methods. By placing the learned concepts within the larger context of green chemistry principles, the lab manual enables students to see how these principles can be applied to real-world issues. Performing laboratory exercises through green experiments results in a safer learning environment, limits the quantity of hazardous waste generated, and reduces the cost for chemicals and waste disposal. Students using this manual will gain a greater appreciation for green chemistry principles and the possibilities for future use in their chosen careers.

DKK 884.00
3

The Complete Guide to the ABC Molecular Biology Certification Exam - Bog af Tiffany (ForensicAid Roy - Paperback

Bayesian Regression Modeling with INLA - Julian J. (university Of Bath Faraway - Bog - Taylor & Francis Inc - Plusbog.dk

Bayesian Regression Modeling with INLA - Julian J. (university Of Bath Faraway - Bog - Taylor & Francis Inc - Plusbog.dk

INLA stands for Integrated Nested Laplace Approximations, which is a new method for fitting a broad class of Bayesian regression models. No samples of the posterior marginal distributions need to be drawn using INLA, so it is a computationally convenient alternative to Markov chain Monte Carlo (MCMC), the standard tool for Bayesian inference. Bayesian Regression Modeling with INLA covers a wide range of modern regression models and focuses on the INLA technique for building Bayesian models using real-world data and assessing their validity. A key theme throughout the book is that it makes sense to demonstrate the interplay of theory and practice with reproducible studies. Complete R commands are provided for each example, and a supporting website holds all of the data described in the book. An R package including the data and additional functions in the book is available to download. The book is aimed at readers who have a basic knowledge of statistical theory and Bayesian methodology. It gets readers up to date on the latest in Bayesian inference using INLA and prepares them for sophisticated, real-world work. Xiaofeng Wang is Professor of Medicine and Biostatistics at the Cleveland Clinic Lerner College of Medicine of Case Western Reserve University and a Full Staff in the Department of Quantitative Health Sciences at Cleveland Clinic. Yu Ryan Yue is Associate Professor of Statistics in the Paul H. Chook Department of Information Systems and Statistics at Baruch College, The City University of New York. Julian J. Faraway is Professor of Statistics in the Department of Mathematical Sciences at the University of Bath.

DKK 685.00
1

Exploring Calculus - Crista (elon University Arangala - Bog - Taylor & Francis Inc - Plusbog.dk