Essential Statistics for the Pharmaceutical Sciences

Practical Pharmacology for the Pharmaceutical Sciences is a lab survival guide for those studying Pharmacology, providing hands-on advice on developing pharmacology laboratory and data handling skills. Suitable for both undergraduates and postgraduates, it focuses on laboratory techniques rather than computer-simulated data. It also guides the reader through the process of communicating experimental results in a variety of formats, including posters, oral presentations and project reports. Split into three main areas, the following topics are covered in detail: Preparation for Experimental Pharmacology Legal aspects Fundamentals of Pharmacology Definitions, calculations and statistics Experiments in Pharmacology Microtitre-based techniques using isolated cells In vitro techniques using isolated tissues and organs Biochemical techniques using cell-free systems Communicating experimental results Data presentation How to write scientific reports Pharmacological literature Supported with numerous questions throughout the text, as well as step by step instructions for practical experiments, this book presents an approach to learning pharmacology through an appreciation of authentic experimental data.

Dive into the most common statistical tests and software packages used for scientific data analysis and interpretation  In Essential Statistics For Bioscientists , experienced university and bioscientist Dr Mohammed Meah delivers easy access to statistical analysis and data presentation. It is a great resource for students in the field of life and health sciences to conceptualize, analyze, and present data. This book uses three popular and commonly used statistics softwares—Microsoft Excel, Graphpad Prism, and SPSS—and offers clear, step-by-step instructions for essential data analysis and graphical/tabular display of data.  Beginning with fundamental statistics terminology and concepts, including data types, descriptive statistics (central and spread of data), exploratory statistics (graphical display) and inferential statistics (hypothesis testing and correlation), the content gradually builds in complexity, explaining which statistical test is best suited and how to perform it.  A thorough introduction to basic statistical terms and building up to an advanced level of statistical application- ideal for those new to study of statistics Extensive application of three popular software packages- Microsoft Excel, Graphpad Prism and SPSS Numerous hands-on examples of performing data analysis using Microsoft Excel, Graphpad Prism, and SPSS Considers the limitations and errors of statistical analysis Essential reading for those designing and planning a research project in Biosciences Perfect for undergraduate students in the life and health sciences,  Essential Statistics For Bioscientists  will also earn a place in the libraries of anyone studying medicine, nursing, physiotherapy, pharmacy, and dentistry requiring a refresher or primer on statistical fundamentals.

Master the essential statistical skills used in social and behavioral sciences Essentials of Statistics for the Social and Behavioral Sciences distills the overwhelming amount of material covered in introductory statistics courses into a handy, practical resource for students and professionals. This accessible guide covers basic to advanced concepts in a clear, concrete, and readable style. Essentials of Statistics for the Social and Behavioral Sciences guides you to a better understanding of basic concepts of statistical methods. Numerous practical tips are presented for selecting appropriate statistical procedures. In addition, this useful guide demonstrates how to evaluate and interpret statistical data, provides numerous formulas for calculating statistics from tables of summary statistics, and offers a variety of worked examples. As part of the Essentials of Behavioral Science series, this book offers a thorough review of the most relevant statistical concepts and techniques that will arm you with the tools you'll need for knowledgeable, informed practice. Each concise chapter features numerous callout boxes highlighting key concepts, bulleted points, and extensive illustrative material, as well as «Test Yourself» questions that help you gauge and reinforce your grasp of the information covered.

Blackwell Publishing is delighted to announce that this book has been Highly Commended in the 2004 BMA Medical Book Competition. Here is the judges' summary of this book: «This is a technical book on a technical subject but presented in a delightful way. There are many books on statistics for doctors but there are few that are excellent and this is certainly one of them. Statistics is not an easy subject to teach or write about. The authors have succeeded in producing a book that is as good as it can get. For the keen student who does not want a book for mathematicians, this is an excellent first book on medical statistics.» Essential Medical Statistics is a classic amongst medical statisticians. An introductory textbook, it presents statistics with a clarity and logic that demystifies the subject, while providing a comprehensive coverage of advanced as well as basic methods. The second edition of Essential Medical Statistics has been comprehensively revised and updated to include modern statistical methods and modern approaches to statistical analysis, while retaining the approachable and non-mathematical style of the first edition. The book now includes full coverage of the most commonly used regression models, multiple linear regression, logistic regression, Poisson regression and Cox regression, as well as a chapter on general issues in regression modelling. In addition, new chapters introduce more advanced topics such as meta-analysis, likelihood, bootstrapping and robust standard errors, and analysis of clustered data. Aimed at students of medical statistics, medical researchers, public health practitioners and practising clinicians using statistics in their daily work, the book is designed as both a teaching and a reference text. The format of the book is clear with highlighted formulae and worked examples, so that all concepts are presented in a simple, practical and easy-to-understand way. The second edition enhances the emphasis on choice of appropriate methods with new chapters on strategies for analysis and measures of association and impact. Essential Medical Statistics is supported by a web site at www.blackwellpublishing.com/essentialmedstats. This useful online resource provides statistical datasets to download, as well as sample chapters and future updates.

An introduction to the physical principles of spectroscopy and their applications to the biological sciences Advances in such fields as proteomics and genomics place new demands on students and professionals to be able to apply quantitative concepts to the biological phenomena that they are studying. Spectroscopy for the Biological Sciences provides students and professionals with a working knowledge of the physical chemical aspects of spectroscopy, along with their applications to important biological problems. Designed as a companion to Professor Hammes's Thermodynamics and Kinetics for the Biological Sciences, this approachable yet thorough text covers the basic principles of spectroscopy, including: * Fundamentals of spectroscopy * Electronic spectra * Circular dichroism and optical rotary dispersion * Vibration in macromolecules (IR, Raman, etc.) * Magnetic resonance * X-ray crystallography * Mass spectrometry With a minimum of mathematics and a strong focus on applications to biology, this book will prepare current and future professionals to better understand the quantitative interpretation of biological phenomena and to utilize these tools in their work.

A comprehensive introduction to inorganic chemistry and, specifically, the science of metal-based drugs, Essentials of Inorganic Chemistry describes the basics of inorganic chemistry, including organometallic chemistry and radiochemistry, from a pharmaceutical perspective. Written for students of pharmacy and pharmacology, pharmaceutical sciences, medicinal chemistry and other health-care related subjects, this accessible text introduces chemical principles with relevant pharmaceutical examples rather than as stand-alone concepts, allowing students to see the relevance of this subject for their future professions. It includes exercises and case studies.

Bayesian methods are increasingly being used in the social sciences, as the problems encountered lend themselves so naturally to the subjective qualities of Bayesian methodology. This book provides an accessible introduction to Bayesian methods, tailored specifically for social science students. It contains lots of real examples from political science, psychology, sociology, and economics, exercises in all chapters, and detailed descriptions of all the key concepts, without assuming any background in statistics beyond a first course. It features examples of how to implement the methods using WinBUGS – the most-widely used Bayesian analysis software in the world – and R – an open-source statistical software. The book is supported by a Website featuring WinBUGS and R code, and data sets.

An introductory guide to smoothing techniques, semiparametric estimators, and their related methods, this book describes the methodology via a selection of carefully explained examples and data sets. It also demonstrates the potential of these techniques using detailed empirical examples drawn from the social and political sciences. Each chapter includes exercises and examples and there is a supplementary website containing all the datasets used, as well as computer code, allowing readers to replicate every analysis reported in the book. Includes software for implementing the methods in S-Plus and R.

This practical text is an essential source of information for those wanting to know how to deal with the variability that exists in every engineering situation. Using typical engineering data, it presents the basic statistical methods that are relevant, in simple numerical terms. In addition, statistical terminology is translated into basic English. In the past, a lack of communication between engineers and statisticians, coupled with poor practical skills in quality management and statistical engineering, was damaging to products and to the economy. The disastrous consequence of setting tight tolerances without regard to the statistical aspect of process data is demonstrated. This book offers a solution, bridging the gap between statistical science and engineering technology to ensure that the engineers of today are better equipped to serve the manufacturing industry. Inside, you will find coverage on: the nature of variability, describing the use of formulae to pin down sources of variation; engineering design, research and development, demonstrating the methods that help prevent costly mistakes in the early stages of a new product; production, discussing the use of control charts, and; management and training, including directing and controlling the quality function. The Engineering section of the index identifies the role of engineering technology in the service of industrial quality management. The Statistics section identifies points in the text where statistical terminology is used in an explanatory context. Engineers working on the design and manufacturing of new products find this book invaluable as it develops a statistical method by which they can anticipate and resolve quality problems before launching into production. This book appeals to students in all areas of engineering and also managers concerned with the quality of manufactured products. Academic engineers can use this text to teach their students basic practical skills in quality management and statistical engineering, without getting involved in the complex mathematical theory of probability on which statistical science is dependent.

This book is a radical plea for the centrality of experience in the social and human sciences. Lash argues that a large part of the output of the social sciences today is still shaped by assumptions stemming from positivism, in contrast to the tradition of interpretative social enquiry pioneered by Max Weber. These assumptions are particularly central to economics, with its emphasis on homo economicus, the utility-maximizing actor, but they have infiltrated the other social sciences too. Lash argues for a social sciences based not in positivism’s utilitarian a priori but instead in the a posteriori of grounded and embedded subjective experience. His wide-ranging account starts from considerations of ancient experience via Aristotle’s technics, continues through a politics of Hannah Arendt’s ‘a posteriori’ public sphere and concludes with the contemporary – with technological experience, on the one hand, and with Chinese post-ontological thought, in which the ‘ten thousand things’ themselves are doing the experiencing, on the other. This original book by a leading social and cultural theorist will be of great interest to students and scholars in sociology, cultural studies and throughout the social sciences.