Pitfalls and Errors of HPLC in Pictures

Pitfalls in Veterinary Surgery offers a candid examination of real-life mistakes and mishaps encountered while operating on veterinary patients. Describes a range of mistakes and mishaps encountered by a veterinary surgeon with 30+ years of experience Provides an honest examination of the reality of operating on pets Offers the opportunity to learn from an experienced surgeon’s mistakes Discusses mistakes in a wide range of situations, ranging from commonplace to unusual Presents a realistic view of veterinary surgery, including how to live with mistakes

Designed for classroom use, this authoritative anthology presents key selections from the best contemporary work in philosophy of film. The featured essays have been specially chosen for their clarity, philosophical depth, and consonance with the current move towards cognitive film theory Eight sections with introductions cover topics such as the nature of film, film as art, documentary cinema, narration and emotion in film, film criticism, and film's relation to knowledge and morality Issues addressed include the objectivity of documentary films, fear of movie monsters, and moral questions surrounding the viewing of pornography Replete with examples and discussion of moving pictures throughout

Errors in Veterinary Anesthesia is the first book to offer a candid examination of what can go wrong when anesthetizing veterinary patients and to discuss how we can learn from mistakes. Discusses the origins of errors and how to learn from mistakes Covers common mistakes in veterinary anesthesia Provides strategies for avoiding errors in anesthetizing small and large animal patients Offers tips and tricks to implement in clinical practice Presents actual case studies discussing errors in veterinary anesthesia

Praise for Common Errors in Statistics (and How to Avoid Them) «A very engaging and valuable book for all who use statistics in any setting.» —CHOICE «Addresses popular mistakes often made in data collection and provides an indispensable guide to accurate statistical analysis and reporting. The authors' emphasis on careful practice, combined with a focus on the development of solutions, reveals the true value of statistics when applied correctly in any area of research.» —MAA Reviews Common Errors in Statistics (and How to Avoid Them), Fourth Edition provides a mathematically rigorous, yet readily accessible foundation in statistics for experienced readers as well as students learning to design and complete experiments, surveys, and clinical trials. Providing a consistent level of coherency throughout, the highly readable Fourth Edition focuses on debunking popular myths, analyzing common mistakes, and instructing readers on how to choose the appropriate statistical technique to address their specific task. The authors begin with an introduction to the main sources of error and provide techniques for avoiding them. Subsequent chapters outline key methods and practices for accurate analysis, reporting, and model building. The Fourth Edition features newly added topics, including: Baseline data Detecting fraud Linear regression versus linear behavior Case control studies Minimum reporting requirements Non-random samples The book concludes with a glossary that outlines key terms, and an extensive bibliography with several hundred citations directing readers to resources for further study. Presented in an easy-to-follow style, Common Errors in Statistics, Fourth Edition is an excellent book for students and professionals in industry, government, medicine, and the social sciences.

Praise for the First Edition of Common Errors in Statistics " . . . let me recommend Common Errors to all those who interact with statistics, whatever their level of statistical understanding . . . " –Stats 40 « . . . written . . . for the people who define good practice rather than seek to emulate it.» –Journal of Biopharmaceutical Statistics « . . . highly informative, enjoyable to read, and of potential use to a broad audience. It is a book that should be on the reference shelf of many statisticians and researchers.» –The American Statistician « . . . I found this book the most easily readable statistics book ever. The credit for this certainly goes to Phillip Good.» –E-STREAMS A tried-and-true guide to the proper application of statistics Now in a second edition, the highly readable Common Errors in Statistics (and How to Avoid Them) lays a mathematically rigorous and readily accessible foundation for understanding statistical procedures, problems, and solutions. This handy field guide analyzes common mistakes, debunks popular myths, and helps readers to choose the best and most effective statistical technique for each of their tasks. Written for both the newly minted academic and the professional who uses statistics in their work, the book covers creating a research plan, formulating a hypothesis, specifying sample size, checking assumptions, interpreting p-values and confidence intervals, building a model, data mining, Bayes' Theorem, the bootstrap, and many other topics. The Second Edition has been extensively revised to include: * Additional charts and graphs * Two new chapters, Interpreting Reports and Which Regression Method? * New sections on practical versus statistical significance and nonuniqueness in multivariate regression * Added material from the authors' online courses at statistics.com * New material on unbalanced designs, report interpretation, and alternative modeling methods With a final emphasis on both finding solutions and the great value of statistics when applied in the proper context, this book is eminently useful to students and professionals in the fields of research, industry, medicine, and government.

A unique approach to solving HPLC problems. Everyone who bought «Problem Solving in HPLC» by Stavros Kromidas will equally benefit from nearly 100 new practical examples for optimization, trouble-shooting, and instrument performance given in this sequel. The author provides – guidance for selecting and evaluating methods, intstruments and columns, – practical help with everyday trouble-shooting, – advice for optimizing separations, always explaining the reason why. In each case the problem, the solution and the conclusions are presented over a maximum of 4 pages, and in addition the book contains manufacturers' addresses, references, data tables and checklists.

Praise for the Second Edition «All statistics students and teachers will find in this book a friendly and intelligentguide to . . . applied statistics in practice.» —Journal of Applied Statistics «. . . a very engaging and valuable book for all who use statistics in any setting.» —CHOICE «. . . a concise guide to the basics of statistics, replete with examples . . . a valuablereference for more advanced statisticians as well.» —MAA Reviews Now in its Third Edition, the highly readable Common Errors in Statistics (and How to Avoid Them) continues to serve as a thorough and straightforward discussion of basic statistical methods, presentations, approaches, and modeling techniques. Further enriched with new examples and counterexamples from the latest research as well as added coverage of relevant topics, this new edition of the benchmark book addresses popular mistakes often made in data collection and provides an indispensable guide to accurate statistical analysis and reporting. The authors' emphasis on careful practice, combined with a focus on the development of solutions, reveals the true value of statistics when applied correctly in any area of research. The Third Edition has been considerably expanded and revised to include: A new chapter on data quality assessment A new chapter on correlated data An expanded chapter on data analysis covering categorical and ordinal data, continuous measurements, and time-to-event data, including sections on factorial and crossover designs Revamped exercises with a stronger emphasis on solutions An extended chapter on report preparation New sections on factor analysis as well as Poisson and negative binomial regression Providing valuable, up-to-date information in the same user-friendly format as its predecessor, Common Errors in Statistics (and How to Avoid Them), Third Edition is an excellent book for students and professionals in industry, government, medicine, and the social sciences.

This Second Edition of the classic handbook details how to set up an HPLC system that capitalizes on the latest innovations. It covers new techniques in high-temperature, micro-flow, and ultra-fast chromatography, the linking of an HPLC to a mass spectrometer, and more. Complete with a CD-ROM and appendices, this guide has everything chromatographers need to know to confidently separate, identify, purify, and quantify compounds. Note: CD-ROM/DVD and other supplementary materials are not included as part of eBook file.

Some of the most important and best lessons in a doctor’s career are learnt from mistakes. However, an awareness of the common causes of medical errors and developing positive behaviours can reduce the risk of mistakes and litigation. Written for Foundation Year doctors, trainees and general practitioners, and unlike any other clinical management title available, Avoiding Errors in General Practice identifies and explains the most common errors likely to occur in an outpatient setting – so that you won’t make them. The first section in this brand new guide discusses the causes of errors in general practice. The second and largest section consists of case scenarios and includes expert and legal comment as well as clinical teaching points and strategies to help you engage in safer practice throughout your career. The final section discusses how to deal with complaints and the subsequent potential medico-legal consequences, helping to reduce your anxiety when dealing with the consequences of an error. Invaluable during the Foundation Years, Specialty Training and for Consultants, Avoiding Errors in General Practice is the perfect guide to help tackle the professional and emotional challenges of life as a GP.

The detection, reporting, measurement, and minimization of medical errors and harms is now a core requirement in clinical organizations throughout developed societies. This book focuses on this major new area in health care. It explores the nature of medical error, its incidence in different health care settings, and strategies for minimizing errors and their harmful consequences to patients. Written by leading authorities, it discusses the practical issues involved in reducing errors in health care – for the clinician, the health policy adviser, and ethical and legal health professionals.