Author: Gerry P. Quinn
Publisher: Cambridge University Press
Release Date: 2002-03-21
An essential textbook for any student or researcher in biology needing to design experiments, sample programs or analyse the resulting data. The text begins with a revision of estimation and hypothesis testing methods, covering both classical and Bayesian philosophies, before advancing to the analysis of linear and generalized linear models. Topics covered include linear and logistic regression, simple and complex ANOVA models (for factorial, nested, block, split-plot and repeated measures and covariance designs), and log-linear models. Multivariate techniques, including classification and ordination, are then introduced. Special emphasis is placed on checking assumptions, exploratory data analysis and presentation of results. The main analyses are illustrated with many examples from published papers and there is an extensive reference list to both the statistical and biological literature. The book is supported by a website that provides all data sets, questions for each chapter and links to software.
Author: David J. Glass
Publisher: CSHL Press
Release Date: 2007
Experimental Design for Biologists explains how to establish the framework for an experimental project, including the effects of using a hypothesis–driven approach versus a question/answer approach, how to set up a system, design experiments within that system, and how to determine and use the correct set of controls. Separate chapters are devoted to the negative control, the positive control, and other categories of controls which are perhaps less recognized, such as “assumption controls”, and “experimentalist controls.” Further, there are sections on establishing the experimental system, which includes performing critical “system controls”. While the book does reference the use of statistics, statistics is not the focus of this book, but rather the way the scientist should go about framing an experimental question, establishing a validated system to answer the question, and deriving verifiable models from experimental data. There is often very little formal training in this area for biologists; therefore this text serves as an essential teaching tool for understanding the theory and practice of designing a research plan.
Author: Helmut van Emden
Publisher: John Wiley & Sons
Release Date: 2012-09-24
“We highly recommend it—not just for statistically terrified biology students and faculty, but also for those who are occasionally anxious or uncertain. In addition to being a good starting point to learn statistics, it is a useful place to return to refresh your memory.” –The Quarterly Review of Biology, March 2009 "During the entire course of my Ph.D. I've been (embarrasingly) looking for a way to teach myself the fundamentals of statistical analysis. At this point in my education, I've come to realize that often times, simply knowing the basics is enough for you to properly apply even the most complex analytical methods. ‘Statistics for Terrified Biologists’ has been just such a book - it was more than worth the $40 I spent on it, and while my 'book clubs' aren't meant to be reviews, I highly recommend the book to anyone who's in a similar predicament to my own." –Carlo Artieri's Blog Book Club The typical biology student is “hardwired” to be wary of any tasks involving the application of mathematics and statistical analyses, but the plain fact is much of biology requires interpretation of experimental data through the use of statistical methods. This unique textbook aims to demystify statistical formulae for the average biology student. Written in a lively and engaging style, Statistics for Terrified Biologists draws on the author’s 30 years of lecturing experience. One of the foremost entomologists of his generation, van Emden has an extensive track record for successfully teaching statistical methods to even the most guarded of biology students. For the first time basic methods are presented using straightforward, jargon-free language. Students are taught to use simple formulae accurately to interpret what is being measured with each test and statistic, while at the same time learning to recognize overall patterns and guiding principles. Complemented by simple illustrations and useful case studies, this is an ideal statistics resource tool for undergraduate biology and environmental science students who lack confidence in their mathematical abilities.
This engaging text shows how statistics and methods work together, demonstrating a variety of techniques for evaluating statistical results against the specifics of the methodological design. Richard Gonzalez elucidates the fundamental concepts involved in analysis of variance (ANOVA), focusing on single degree-of-freedom tests, or comparisons, wherever possible. Potential threats to making a causal inference from an experimental design are highlighted. With an emphasis on basic between-subjects and within-subjects designs, Gonzalez resists presenting the countless "exceptions to the rule" that make many statistics textbooks so unwieldy and confusing for students and beginning researchers. Ideal for graduate courses in experimental design or data analysis, the text may also be used by advanced undergraduates preparing to do senior theses. Useful pedagogical features include: Discussions of the assumptions that underlie each statistical test Sequential, step-by-step presentations of statistical procedures End-of-chapter questions and exercises Accessible writing style with scenarios and examples This book is intended for graduate students in psychology and education, practicing researchers seeking a readable refresher on analysis of experimental designs, and advanced undergraduates preparing senior theses. It serves as a text for graduate level experimental design, data analysis, and experimental methods courses taught in departments of psychology and education. It is also useful as a supplemental text for advanced undergraduate honors courses.
Author: George Casella
Publisher: Springer Science & Business Media
Release Date: 2008-04-03
Although statistical design is one of the oldest branches of statistics, its importance is ever increasing, especially in the face of the data flood that often faces statisticians. It is important to recognize the appropriate design, and to understand how to effectively implement it, being aware that the default settings from a computer package can easily provide an incorrect analysis. The goal of this book is to describe the principles that drive good design, paying attention to both the theoretical background and the problems arising from real experimental situations. Designs are motivated through actual experiments, ranging from the timeless agricultural randomized complete block, to microarray experiments, which naturally lead to split plot designs and balanced incomplete blocks. George Casella is Distinguished Professor in the Department of Statistics at the University of Florida. He is active in many aspects of statistics, having contributed to theoretical statistics in the areas of decision theory and statistical confidence, to environmental statistics, and has more recently concentrated efforts in statistical genomics. He also maintains active research interests in the theory and application of Monte Carlo and other computationally intensive methods. He is listed as an ISI "Highly Cited Researcher." In other capacities, Professor Casella has served as Theory and Methods Editor of the Journal of the American Statistical Association, 1996-1999, Executive Editor of Statistical Science, 2001-2004, and Co-Editor of the Journal of the Royal Statistical Society, Series B, 2009-2012. He has served on the Board of Mathematical Sciences of the National Research Council, 1999-2003, and many committees of both the American Statistical Association and the Institute of Mathematical Statistics. Professor Casella has co-authored five textbooks: Variance Components, 1992; Theory of Point Estimation, Second Edition, 1998; Monte Carlo Statistical Methods, Second Edition, 2004; Statistical Inference, Second Edition, 2001, and Statistical Genomics of Complex Traits, 2007.
Basic Science Methods for Clinical Researchers addresses the specific challenges faced by clinicians without a conventional science background. The aim of the book is to introduce the reader to core experimental methods commonly used to answer questions in basic science research and to outline their relative strengths and limitations in generating conclusive data. This book will be a vital companion for clinicians undertaking laboratory-based science. It will support clinicians in the pursuit of their academic interests and in making an original contribution to their chosen field. In doing so, it will facilitate the development of tomorrow’s clinician scientists and future leaders in discovery science. Serves as a helpful guide for clinical researchers who lack a conventional science background Organized around research themes pertaining to key biological molecules, from genes, to proteins, cells, and model organisms Features protocols, techniques for troubleshooting common problems, and an explanation of the advantages and limitations of a technique in generating conclusive data Appendices provide resources for practical research methodology, including legal frameworks for using stem cells and animals in the laboratory, ethical considerations, and good laboratory practice (GLP)
Author: Robert Bruce Thompson
Publisher: "O'Reilly Media, Inc."
Release Date: 2012-02-17
For students, DIY hobbyists, and science buffs, who can no longer get real chemistry sets, this one-of-a-kind guide explains how to set up and use a home chemistry lab, with step-by-step instructions for conducting experiments in basic chemistry -- not just to make pretty colors and stinky smells, but to learn how to do real lab work: Purify alcohol by distillation Produce hydrogen and oxygen gas by electrolysis Smelt metallic copper from copper ore you make yourself Analyze the makeup of seawater, bone, and other common substances Synthesize oil of wintergreen from aspirin and rayon fiber from paper Perform forensics tests for fingerprints, blood, drugs, and poisons and much more From the 1930s through the 1970s, chemistry sets were among the most popular Christmas gifts, selling in the millions. But two decades ago, real chemistry sets began to disappear as manufacturers and retailers became concerned about liability. ,em>The Illustrated Guide to Home Chemistry Experiments steps up to the plate with lessons on how to equip your home chemistry lab, master laboratory skills, and work safely in your lab. The bulk of this book consists of 17 hands-on chapters that include multiple laboratory sessions on the following topics: Separating Mixtures Solubility and Solutions Colligative Properties of Solutions Introduction to Chemical Reactions & Stoichiometry Reduction-Oxidation (Redox) Reactions Acid-Base Chemistry Chemical Kinetics Chemical Equilibrium and Le Chatelier's Principle Gas Chemistry Thermochemistry and Calorimetry Electrochemistry Photochemistry Colloids and Suspensions Qualitative Analysis Quantitative Analysis Synthesis of Useful Compounds Forensic Chemistry With plenty of full-color illustrations and photos, Illustrated Guide to Home Chemistry Experiments offers introductory level sessions suitable for a middle school or first-year high school chemistry laboratory course, and more advanced sessions suitable for students who intend to take the College Board Advanced Placement (AP) Chemistry exam. A student who completes all of the laboratories in this book will have done the equivalent of two full years of high school chemistry lab work or a first-year college general chemistry laboratory course. This hands-on introduction to real chemistry -- using real equipment, real chemicals, and real quantitative experiments -- is ideal for the many thousands of young people and adults who want to experience the magic of chemistry.
Author: Brian Carrier
Publisher: Addison-Wesley Professional
Release Date: 2005-03-17
The Definitive Guide to File System Analysis: Key Concepts and Hands-on Techniques Most digital evidence is stored within the computer's file system, but understanding how file systems work is one of the most technically challenging concepts for a digital investigator because there exists little documentation. Now, security expert Brian Carrier has written the definitive reference for everyone who wants to understand and be able to testify about how file system analysis is performed. Carrier begins with an overview of investigation and computer foundations and then gives an authoritative, comprehensive, and illustrated overview of contemporary volume and file systems: Crucial information for discovering hidden evidence, recovering deleted data, and validating your tools. Along the way, he describes data structures, analyzes example disk images, provides advanced investigation scenarios, and uses today's most valuable open source file system analysis tools—including tools he personally developed. Coverage includes Preserving the digital crime scene and duplicating hard disks for "dead analysis" Identifying hidden data on a disk's Host Protected Area (HPA) Reading source data: Direct versus BIOS access, dead versus live acquisition, error handling, and more Analyzing DOS, Apple, and GPT partitions; BSD disk labels; and Sun Volume Table of Contents using key concepts, data structures, and specific techniques Analyzing the contents of multiple disk volumes, such as RAID and disk spanning Analyzing FAT, NTFS, Ext2, Ext3, UFS1, and UFS2 file systems using key concepts, data structures, and specific techniques Finding evidence: File metadata, recovery of deleted files, data hiding locations, and more Using The Sleuth Kit (TSK), Autopsy Forensic Browser, and related open source tools When it comes to file system analysis, no other book offers this much detail or expertise. Whether you're a digital forensics specialist, incident response team member, law enforcement officer, corporate security specialist, or auditor, this book will become an indispensable resource for forensic investigations, no matter what analysis tools you use.
Egg Innovations and Strategies for Improvements examines the production of eggs from their development to human consumption. Chapters also address consumer acceptance, quality control, regulatory aspects, cost and risk analyses, and research trends. Eggs are a rich source of macro- and micronutrients which are consumed not only by themselves, but also within the matrix of food products, such as pastas, cakes, and pastries. A wholesome, versatile food with a balanced array of essential nutrients, eggs are a stable of the human diet. Emerging strategies entail improvements to the composition of eggs via fortification or biological enrichment of hen's feed with polyunsaturated fatty acids, antioxidants, vitamins, or minerals. Conversely, eggs can be a source of food-borne disease or pollutants that can have effects on not only human health, but also egg production and commercial viability. Written by an international team of experts, the book presents a unique overview of the biology and science of egg production, nutrient profiling, disease, and modes for increasing their production and quality. Designed for poultry and food scientists, technologists, microbiologists, and workers in public health and the food and egg industries, the book is valuable as an industrial reference and as a resource in academic libraries. Focuses on the production and food science aspects of eggs Includes a broad range of microbial contaminants, their risks, and prevention, as well as non-microbial contaminant risks Presents analytical techniques for practical application
Author: Victor R. Preedy
Publisher: Academic Press
Release Date: 2016-12-31
Handbook of Cannabis and Related Pathologies: Biology, Pharmacology, Diagnosis, and Treatment is the first book to take an interdisciplinary approach to the understanding of cannabis use and misuse. Recent worldwide trends toward decriminalizing marijuana for medical use have increased legal use of the drug and recreational use remains high, making cannabis one of the most commonly used drugs. Cannabis has a wide range of adverse neurological effects, and use and abuse can lead to physical, social, and psychopathological issues that are multifarious and complex. Effective understanding and treatment requires knowledge of the drug’s effects from across scientific disciplines. This book provides an overview of the biological and pharmacological components of the cannabis plant, outlines its neurological, social, and psychopathological effects, assists in the diagnosis and screening for use and dependency, and aids researchers in developing effective treatments for cannabis-related issues and disorders. Fully illustrated, with contributions from internationally recognized experts, it is the go-to resource for neuroscientists, pharmacologists, pathologists, public-health workers, and any other researcher who needs an in-depth and cross-disciplinary understanding of cannabis and its effects. Comprehensive chapters include an abstract, key facts, mini dictionary of terms, and summary points Presents illustrations with at least six figures, tables, and diagrams per chapter Provides a one-stop-shopping synopsis of everything to do with cannabis and its related pathology, from chemicals and cells, individuals and communities, and diagnosis and treatment Offers an integrated and informed synopsis of the complex issues surrounding cannabis as a substance, its use, and its misuse
This comprehensive text introduces students to the aquaculture industry. Every aspect of this growing field is covered, from history of aquaculture, descriptions of aquatic plants and animals and feeding to in-depth coverage of economics, marketing, management and diseases of aquatic animals and plants. AQUACULTURE SCIENCE, third edition, addresses the latest production methods, species types, advances in technology, trends and statistics. The science of aquaculture, chemistry, biology, and anatomy and physiology, is stressed throughout to ensure that students understand the fundamental principles. A complete chapter offers detailed information on career opportunities in the aquaculture industry. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.
Author: National Research Council
Publisher: National Academies Press
Release Date: 2007-11-19
The new field of toxicogenomics presents a potentially powerful set of tools to better understand the health effects of exposures to toxicants in the environment. At the request of the National Institute of Environmental Health Sciences, the National Research Council assembled a committee to identify the benefits of toxicogenomics, the challenges to achieving them, and potential approaches to overcoming such challenges. The report concludes that realizing the potential of toxicogenomics to improve public health decisions will require a concerted effort to generate data, make use of existing data, and study data in new ways--an effort requiring funding, interagency coordination, and data management strategies.
Ethnobiology and ethnoecology have become very popular in recent years. Particularly in the last 20 years, many manuals of methods have published the most classical approaches to the subject. There have been, however, many advances in research as a result of interaction with different disciplines, but also due to more recent results, new original and interesting questions. This handbook provides the current state of the art methods and techniques in ethnobiology and ethnoecology, and related fields. This new volume, besides bringing new and original aspects of what is found in the literature, fills some of the gaps in volume one by including the most systematic and extensive treatment of methods and techniques in qualitative research. Along with the various methods covered in the individual chapters, the handbook also includes an extensive bibliography that details the current literature in the field.