Leading researchers examine how behavior genetics provides crucial insights into genetic and environmental influences in the development of biobehavioral disorders. These influences are illustrated by using the examples of cardiovascular disease, obesity and eating disorders, alcohol use and abuse, and smoking behavior. Contributors discuss the relevance of molecular genetic approaches and twin and family designs to the complex field of behavior medicine research.

Demonstrating that the magnitude and pattern of cardiovascular response to stress varies markedly between individuals, this work discusses the mechanisms by which the cardiovascular system is mobilized during stress, the determinants of individual differences, and the pathophysiological processes by which responses to stress may lead to cardiovascular disease. Behavioral scientists from a variety of disciplines will find the work pertinent to their research.

New Drug Development: Second Edition provides an overview of the design concepts and statistical practices involved in therapeutic drug development. This wide spectrum of activities begins with identifying a potentially useful drug candidate that can perhaps be used in the treatment or prevention of a condition of clinical concern, and ends with marketing approval being granted by one or more regulatory agencies. In between, it includes drug molecule optimization, nonclinical and clinical evaluations of the drug's safety and efficacy profiles, and manufacturing considerations. The more inclusive term lifecycle drug development can be used to encompass the postmarketing surveillance that is conducted all the time that a drug is on the market and being prescribed to patients with the relevant clinical condition. Information gathered during this time can be used to modify the drug (for example, dose prescribed, formulation, and mode of administration) in terms of its safety and its effectiveness. The central focus of the first edition of this book is captured by its subtitle, 'Design, Methodology, and Analysis'. Optimum quality study design and experimental research methodology must be employed if the data collected-numerical representations of biological information-are to be of optimum quality. Optimum quality data facilitate optimum quality statistical analysis and interpretation of the results obtained, which in turn permit optimum quality decisions to be made: Rational decision making is predicated on appropriate research questions and optimum quality numerical information. The book took a non-computational approach to statistics, presenting instead a conceptual framework and providing readers with a sound working knowledge of the importance of design, methodology, and analysis. Not everyone needs to be an expert in statistical analysis, but it is very helpful for work (or aspire to work) in the pharmaceutical and biologics industries to be aware of the fundamental importance of a sound scientific and clinical approach to the planning, conduct, and analysis of clinical trials.

This book is an articulate, concise, contemporary introduction to the study of important variables underlying cardiovascular reactivity. Its strength is in the combination of a scholarly but nonpedantic approach to cardiovascular psychophysiology and a solid understanding of be havioral medicine approaches to the study of hypertension. The topics covered are central to the study of relationships between behavior and cardiovascular reactivity; the list of suggested readings at the end of each chapter provides excellent guidance for more detailed study of specific issues. It has now been more than a dozen years since Plenum Press published Paul Obrist's seminal monograph Cardiovascular Psycho physiology. The volume had a major impact in relating cardiovascular regulation to behaving individuals and in developing thoughtful hy potheses concerning such factors as they might pertain to hypertension. The impact of that work extended across scientific disciplines as well as aross continents. At the time the Obrist book was published, a young psychologist, J. Rick Turner, was completing his Ph. D. thesis in psychol ogy at the University of Birmingham, England, on heart rate reactions to psychological challenge. After continued collaboration for the next several years with his former Ph. D. mentor, Douglas Carroll, Turner joined the Obrist laboratory at the University of North Carolina. Al though Obrist unfortunately died during Turner's tenure in the labora tory, collaboration continued with Kathleen Light and Andrew Sher wood. The enlightened legacy of the North Carolina laboratory can clearly be seen in this text."

"The strengths of the text include the explanation of the different types of designs that are appropriate for ANOVA techniques. Description of the summary tables is well done, and the authors provide a good explanation of the differences between "within subjects" and "between subjects" designs and how these differences translate into more powerful designs when using repeated measures." Jon L. Proctor, Criminal Justice, Westfield State College "The book does a great job of covering the necessary information and leaving the student with an understanding of not only what they are doing but what it all means. I would use it in my classes and I would recommend it to colleagues as a professional book if they are not well-versed in ANOVA." Catherine H. Renner, Nursing, Westchester University Having trouble finding a book that shows you not only how to analyze data but also how to collect the data appropriately and fully interpret the analysis, too? Here's a new book that does all this in a particularly readable fashion. Turner and Thayer's text: · Shows how to design an experiment in the best possible way to investigate the topic of interest · Explains which associated analysis will best answer your research question · Demonstrates how to conduct the analysis and then fully interpret the results in the context of your research question Organized so that the reader moves from the simplest type of design to more complex ones, the authors introduce five different kinds of ANOVA techniques and explain which design/analysis is appropriate to answer specific questions. They show how to perform each analysis using only a calculator to provide the reader with a better "feel" for the analyses than simply seeing the mathematical answers on a computer print-out. The book concludes with tips for tests on ANOVA, and descriptions of how to use the knowledge gained from the text to determine the credibility of claims made and "statistics" presented in various types of reports. Pedagogical Aids enhancing utilization of the book include: · Key Concept Boxes: Highlight and summarize important concepts · Summary Sections: Provide readers with a recap of the material covered in each chapter · Exercises: Give readers the opportunity to put into practice the concepts they've just learned

New Drug Development: Second Edition provides an overview of the design concepts and statistical practices involved in therapeutic drug development. This wide spectrum of activities begins with identifying a potentially useful drug candidate that can perhaps be used in the treatment or prevention of a condition of clinical concern, and ends with marketing approval being granted by one or more regulatory agencies. In between, it includes drug molecule optimization, nonclinical and clinical evaluations of the drug's safety and efficacy profiles, and manufacturing considerations. The more inclusive term lifecycle drug development can be used to encompass the postmarketing surveillance that is conducted all the time that a drug is on the market and being prescribed to patients with the relevant clinical condition. Information gathered during this time can be used to modify the drug (for example, dose prescribed, formulation, and mode of administration) in terms of its safety and its effectiveness. The central focus of the first edition of this book is captured by its subtitle, 'Design, Methodology, and Analysis'. Optimum quality study design and experimental research methodology must be employed if the data collected-numerical representations of biological information-are to be of optimum quality. Optimum quality data facilitate optimum quality statistical analysis and interpretation of the results obtained, which in turn permit optimum quality decisions to be made: Rational decision making is predicated on appropriate research questions and optimum quality numerical information. The book took a non-computational approach to statistics, presenting instead a conceptual framework and providing readers with a sound working knowledge of the importance of design, methodology, and analysis. Not everyone needs to be an expert in statistical analysis, but it is very helpful for work (or aspire to work) in the pharmaceutical and biologics industries to be aware of the fundamental importance of a sound scientific and clinical approach to the planning, conduct, and analysis of clinical trials.

Demonstrating that the magnitude and pattern of cardiovascular response to stress varies markedly between individuals, this work discusses the mechanisms by which the cardiovascular system is mobilized during stress, the determinants of individual differences, and the pathophysiological processes by which responses to stress may lead to cardiovascular disease. Behavioral scientists from a variety of disciplines will find the work pertinent to their research.

Leading researchers examine how behavior genetics provides crucial insights into genetic and environmental influences in the development of biobehavioral disorders. These influences are illustrated by using the examples of cardiovascular disease, obesity and eating disorders, alcohol use and abuse, and smoking behavior. Contributors discuss the relevance of molecular genetic approaches and twin and family designs to the complex field of behavior medicine research.

This Brief discusses key statistical concepts that facilitate the inferential analysis of data collected from a group of individuals participating in a pharmaceutical clinical trial, the estimation of their clinical significance in the general population of individuals likely to be prescribed the drug if approved, and the related decision-making that occurs at both the public health level (by regulatory agencies when deciding whether or not to approve a new drug for marketing) and the individual patient level (by physicians and their patients when deciding whether or not the patient should be prescribed a drug that is on the market). These concepts include drug safety and efficacy, statistical significance, clinical significance, and benefit-risk balance.

This book is a self-contained introduction to Statistics, presented in the context of clinical trials and pharmaceutical drug development. It focuses on the statistical analyses most commonly used in drug development and is therefore an ideal introduction to pharmaceutical statistics. Instead of introducing a series of statistical techniques, the book's organizational structure follows the order in which numerical information and statistical analyses are used in trials and new drug development.All students taking classes in pharmaceutical sciences and clinical research need a solid knowledge and understanding of the nature, methods, application and importance of Statistics. They need to understand:why, and how data are collected in clinical trials; how these data are summarized and analyzed; what the results mean in the context of the clinical research question; and, how the results are communicated to regulatory agencies and to scientific and medical communities.This title therefore adopts a unique approach and concept in organization of the content. It begins with an introduction to statistical theory, analysis and interpretation. This is followed by a discussion of t-tests and confidence intervals. Readers are then taken through the whole process of new drug development (using one specific example throughout) that is meaningful in the context of their broader studies. Throughout this process, statistical techniques and analyses are introduced in the order in which they are employed during the process.The book's realistic scientific and progressive organization from pre-clinical trials to clinical pharmacology through clinical trials is novel, meaningful and educationally powerful. The book emphasises the importance of descriptive statistics as well as inferential statistics, something that is rarely done.Supplementary material is included for this text on the PharmPress website in the form of PowerPoint lecture notes on Statistics (based on content of this book) that can be downloaded by lecturers.

This book is an articulate, concise, contemporary introduction to the study of important variables underlying cardiovascular reactivity. Its strength is in the combination of a scholarly but nonpedantic approach to cardiovascular psychophysiology and a solid understanding of be havioral medicine approaches to the study of hypertension. The topics covered are central to the study of relationships between behavior and cardiovascular reactivity; the list of suggested readings at the end of each chapter provides excellent guidance for more detailed study of specific issues. It has now been more than a dozen years since Plenum Press published Paul Obrist's seminal monograph Cardiovascular Psycho physiology. The volume had a major impact in relating cardiovascular regulation to behaving individuals and in developing thoughtful hy potheses concerning such factors as they might pertain to hypertension. The impact of that work extended across scientific disciplines as well as aross continents. At the time the Obrist book was published, a young psychologist, J. Rick Turner, was completing his Ph. D. thesis in psychol ogy at the University of Birmingham, England, on heart rate reactions to psychological challenge. After continued collaboration for the next several years with his former Ph. D. mentor, Douglas Carroll, Turner joined the Obrist laboratory at the University of North Carolina. Al though Obrist unfortunately died during Turner's tenure in the labora tory, collaboration continued with Kathleen Light and Andrew Sher wood. The enlightened legacy of the North Carolina laboratory can clearly be seen in this text.

"The strengths of the text include the explanation of the different types of designs that are appropriate for ANOVA techniques. Description of the summary tables is well done, and the authors provide a good explanation of the differences between "within subjects" and "between subjects" designs and how these differences translate into more powerful designs when using repeated measures." Jon L. Proctor, Criminal Justice, Westfield State College "The book does a great job of covering the necessary information and leaving the student with an understanding of not only what they are doing but what it all means. I would use it in my classes and I would recommend it to colleagues as a professional book if they are not well-versed in ANOVA." Catherine H. Renner, Nursing, Westchester University Having trouble finding a book that shows you not only how to analyze data but also how to collect the data appropriately and fully interpret the analysis, too? Here's a new book that does all this in a particularly readable fashion. Turner and Thayer's text: · Shows how to design an experiment in the best possible way to investigate the topic of interest · Explains which associated analysis will best answer your research question · Demonstrates how to conduct the analysis and then fully interpret the results in the context of your research question Organized so that the reader moves from the simplest type of design to more complex ones, the authors introduce five different kinds of ANOVA techniques and explain which design/analysis is appropriate to answer specific questions. They show how to perform each analysis using only a calculator to provide the reader with a better "feel" for the analyses than simply seeing the mathematical answers on a computer print-out. The book concludes with tips for tests on ANOVA, and descriptions of how to use the knowledge gained from the text to determine the credibility of claims made and "statistics" presented in various types of reports. Pedagogical Aids enhancing utilization of the book include: · Key Concept Boxes: Highlight and summarize important concepts · Summary Sections: Provide readers with a recap of the material covered in each chapter · Exercises: Give readers the opportunity to put into practice the concepts they've just learned