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Producing High-Quality Figures Using SAS/GRAPH and ODS Graphics Procedures

SAS Programming The One-Day Course

Using SAS for Data Management Statistical Analysis and Graphics

Using SAS for Data Management Statistical Analysis and Graphics

Quick and Easy Access to Key Elements of Documentation Includes worked examples across a wide variety of applications tasks and graphics A unique companion for statistical coders Using SAS for Data Management Statistical Analysis and Graphics presents an easy way to learn how to perform an analytical task in SAS without having to navigate through the extensive idiosyncratic and sometimes unwieldy software documentation. Organized by short clear descriptive entries the book covers many common tasks such as data management descriptive summaries inferential procedures regression analysis multivariate methods and the creation of graphics. Through the extensive indexing cross-referencing and worked examples in this text users can directly find and implement the material they need. The text includes convenient indices organized by topic and SAS syntax. Demonstrating the SAS code in action and facilitating exploration the authors present example analyses that employ a single data set from the HELP study. They also provide several case studies of more complex applications. Data sets and code are available for download on the book‘s website. Helping to improve your analytical skills this book lucidly summarizes the features of SAS most often used by statistical analysts. New users of SAS will find the simple approach easy to understand while more expert SAS programmers will appreciate the invaluable source of task-oriented information.

GBP 175.00
1

Structural Equation Modeling Using R/SAS A Step-by-Step Approach with Real Data Analysis

Structural Equation Modeling Using R/SAS A Step-by-Step Approach with Real Data Analysis

There has been considerable attention to making the methodologies of structural equation modeling available to researchers practitioners and students along with commonly used software. Structural Equation Modelling Using R/SAS aims to bring it all together to provide a concise point-of-reference for the most commonly used structural equation modeling from the fundamental level to the advanced level. This book is intended to contribute to the rapid development in structural equation modeling and its applications to real-world data. Straightforward explanations of the statistical theory and models related to structural equation models are provided using a compilation of a variety of publicly available data to provide an illustration of data analytics in a step-by-step fashion using commonly used statistical software of R and SAS. This book is appropriate for anyone who is interested in learning and practicing structural equation modeling especially in using R and SAS. It is useful for applied statisticians data scientists and practitioners applied statistical analysts and scientists in public health and academic researchers and graduate students in statistics whilst also being of use to R&D professionals/practitioners in industry and governmental agencies. Key Features: Extensive compilation of commonly used structural equation models and methods from fundamental to advanced levels Straightforward explanations of the theory related to the structural equation models Compilation of a variety of publicly available data Step-by-step illustrations of data analysis using commonly used statistical software R and SAS Data and computer programs are available for readers to replicate and implement the new methods to better understand the book contents and for future applications Handbook for applied statisticians and practitioners | Structural Equation Modeling Using R/SAS A Step-by-Step Approach with Real Data Analysis

GBP 89.99
1

Statistical Methods for Mediation Confounding and Moderation Analysis Using R and SAS

Practical Guide to Logistic Regression

Practical Guide to Logistic Regression

Practical Guide to Logistic Regression covers the key points of the basic logistic regression model and illustrates how to use it properly to model a binary response variable. This powerful methodology can be used to analyze data from various fields including medical and health outcomes research business analytics and data science ecology fisheries astronomy transportation insurance economics recreation and sports. By harnessing the capabilities of the logistic model analysts can better understand their data make appropriate predictions and classifications and determine the odds of one value of a predictor compared to another. Drawing on his many years of teaching logistic regression using logistic-based models in research and writing about the subject Professor Hilbe focuses on the most important features of the logistic model. Serving as a guide between the author and readers the book explains how to construct a logistic model interpret coefficients and odds ratios predict probabilities and their standard errors based on the model and evaluate the model as to its fit. Using a variety of real data examples mostly from health outcomes the author offers a basic step-by-step guide to developing and interpreting observation and grouped logistic models as well as penalized and exact logistic regression. He also gives a step-by-step guide to modeling Bayesian logistic regression. R statistical software is used throughout the book to display the statistical models while SAS and Stata codes for all examples are included at the end of each chapter. The example code can be adapted to readers own analyses. All the code is available on the author‘s website.

GBP 175.00
1

Style Bible What to Wear to Work

Statistical Analysis for Education and Psychology Researchers Tools for researchers in education and psychology

Animate to Harmony The Independent Animator's Guide to Toon Boom

An Introduction to Quantum Mechanics From Facts to Formalism

An Introduction to Quantum Mechanics From Facts to Formalism

The core content of even the most intricate intellectual edifices is often a simple fact or idea. So is it with quantum mechanics; the entire mathematical fabric of the formal description of quantum mechanics stems essentially from the fact that quantum probabilities interfere (i. e. from the superposition principle). This book is dedicated to substantiating this claim. In the process the book tries to demonstrate how the factual content of quantum mechanics can be transcribed in the formal language of vector spaces and linear transformations by disentangling the empirical content from the usual formal description. More importantly it tries to bring out what this transcription achieves. The book uses a pedagogic strategy which reverse engineers the postulates of quantum mechanics to device a schematic outline of the empirical content of quantum mechanics from which the postulates are then reconstructed step by step. This strategy is adopted to avoid the disconcerting details of actual experiments (however simplified) to spare the beginner of issues that lurk in the fragile foundations of the subject. In the Copenhagen interpretation of quantum mechanics the key idea is measurement. But measurement carries an entirely different meaning from the connotation that the term carries elsewhere in physics. This book strives to underline this as strongly as possible. The book is intended as an undergraduate text for a first course in quantum mechanics. Since the book is self contained it may also be used by enthusiastic outsiders interested to get a glimpse of the core content of the subject. Features: Demonstrates why linear algebra is the appropriate mathematical language for quantum mechanics. Uses a reconstructive approach to motivate the postulates of quantum mechanics. Builds the vocabulary of quantum mechanics by showing how the entire body of its conceptual ingredients can be constructed from the single notion of quantum measurement. | An Introduction to Quantum Mechanics From Facts to Formalism

GBP 105.00
1

From Mesopotamia To Modernity Ten Introductions To Jewish History And Literature

Coming to Know

Introduction to Environmental Toxicology Molecular Substructures to Ecological Landscapes Fifth Edition

Introduction to Gifted Education

Introduction to Christian Ethics

Italy From Revolution to Republic 1700 to the Present Fourth Edition

Motivation to Work

Motivation to Work

Quality work that fosters job satisfaction and health enjoys top priority in industry all over the world. This was not always so. Until recently analysis of job attitudes focused primarily on human relations problems within organizations. While American industry was trying to solve the unsolvable problem of avoiding interpersonal dissatisfaction problems with the potential for solution such as training and quality production were ignored. When first published 'The Motivation to Work' challenged the received wisdom by showing that worker fulfillment came from achievement and growth within the job itself. In his new introduction Herzberg examines thirty years of motivational research in job-related areas. Based on workers' accounts of real events that have made them feel good or bad on the job the findings of Herzberg and his colleagues have stimulated research and controversy that continue to the present day. The authors surprisingly found that while a poor work environment generated discontent improved conditions seldom brought about improved attitudes. Instead satisfaction came most often from factors intrinsic to work: achievements job recognition and work that was challenging interesting and responsible. The evidence marshaled by this volume called into question many previous assumptions about job satisfaction and worker motivation. Feelings about intrinsic and extrinsic factors could not be validly averaged on a single scale of measurement. Motivation and performance are not merely dependent upon environmental needs and external rewards. Frederick Herzberg and his staff based their motivation—hygiene theory on a variety of human needs and applied it to a strategy of job enrichment that has widely influenced motivation and job design strategies. 'Motivation to Work' is a landmark volume that is of enduring interest to sociologists psychologists labor studies specialists and organization analysts.

GBP 145.00
1

Introduction to Experimental Methods

Responding to Drinking Problems

Responding to Drinking Problems

In the 1970s family doctors social workers researchers and administrators had been aware of the inadequacy of the response to drinking problems for some time. However there had been no systematic examination of why such agents felt negatively about drinkers and disinclined to respond to them. Originally published in 1978 this book develops a radical new perspective on the prevalence and causes of drinking problems combining reviews of historical and contemporary literature with the authors’ own research studies. This perspective is then linked to the need for an integrated response from both medical and social services with a particular accent on the need for a community response. By focusing on the relationship between helper and helped a solution is sought to the question which has troubled the field for many years: why are agents like family doctors and social workers so inadequate in recognising and responding to people with drinking problems? The crucial aspects within the therapeutic relationship are pinpointed and experimental studies are described which show how training casework supervision and the redeployment of expertise can help improve recognition rates and responses to individual drinkers. This book thus expresses the need for major changes both in our attitudes and understanding of people with drinking problems and the difficulties of agents who try to help them. It should still be of historical interest to social scientists and those involved in helping people with drinking problems. | Responding to Drinking Problems

GBP 90.00
1

Introduction to Pharmacology

Introduction to Pharmacology

Advances in pharmacogenomics and proteomics along with the introduction of recombinant DNA technology have expanded the applications of pharmacology to encompass a range of disciplines. Biomedical researchers protein specialists and molecular biologists are all involved in the development and delivery of novel drugs. Therefore students in a variety of life sciences now require grounding in pharmacology. Adding much new material Introduction to Pharmacology Third Edition familiarizes students with the curative action of specific drugs along with current research and the multifaceted role of pharmacology in society. New to the third edition Chapters on smooth muscle pharmacology covering gastrointestinal and pulmonary pharmacology Pharmacology advances at the molecular level The historical background of the Watson Crick model of DNA Cutting edge topics such as RNA interference and dopamine signaling The text begins with a discussion on the absorption distribution metabolism and elimination of drugs. Much emphasis is placed on pharmacokinetic aspects: how drugs produce an effect and the quantification of these effects for comparative purposes. Also the text describes substance abuse pharmacology and the evolution of drug laws. Several chapters deal with the development of drugs and challenges faced in drug discovery. Identifying both the therapeutic and toxicological aspects of drug use Introduction to Pharmacology employs contemporary examples to help students become familiar with drug development and treatment as well as possible adverse affects and the impact of drug research and use on society today and into the future.

GBP 175.00
1

Introduction to Green Chemistry

Introduction to Green Chemistry

Interest in green chemistry and clean processes has grown so much in recent years that topics such as fluorous biphasic catalysis metal organic frameworks and process intensification which were barely mentioned in the First Edition have become major areas of research. In addition government funding has ramped up the development of fuel cells and biofuels. This reflects the evolving focus from pollution remediation to pollution prevention. Copiously illustrated with more than 800 figures the Third Edition provides an update from the frontiers of the field. It features supplementary exercises at the end of each chapter relevant to the chemical examples introduced in each chapter. Particular attention is paid to a new concluding chapter on the use of green metrics as an objective tool to demonstrate proof of synthesis plan efficiency and to identify where further improvements can be made through fully worked examples relevant to the chemical industry. NEW AND EXPANDED RESEARCH TOPICS Metal-organic frameworks Metrics Solid acids for alkylation of isobutene by butanes Carbon molecular sieves Mixed micro- and mesoporous solids Organocatalysis Process intensification and gas phase enzymatic reactions Hydrogen storage for fuel cells Reactive distillation Catalysts in action on an atomic scale UPDATED AND EXPANDED CURRENT EVENTS TOPICS Industry resistance to inherently safer chemistry Nuclear power Removal of mercury from vaccines Removal of mercury and lead from primary explosives Biofuels Uses for surplus glycerol New hard materials to reduce wear Electronic waste Smart growth The book covers traditional green chemistry topics including catalysis benign solvents and alternative feedstocks. It also discusses relevant but less frequently covered topics with chapters such as Chemistry of Long Wear and Population and the Environment. This coverage highlights the importance of chemistry to everyday life and demonstrates the benefits the expanded exploitation of green chemistry can have for society. | Introduction to Green Chemistry

GBP 130.00
1

Positive Alternatives to Exclusion

Concrete Design to EN 1992