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University of New Hampshire, Durham. Statistics textbook for health administration students. Stresses methods relevant to administration such as forecasting and project analysis. Assumes knowledge of algebra, statistics, accounting, economics, and health care organizations.

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This book introduces students and clinicians to common statistical methods and study designs used in pharmacoepidemiology, outcomes research, and more.

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The extensively revised edition of the best-selling Focus Groups as Qualitative Research continues to provide an excellent guide for researchers across the disciplines.

Reflecting the many changes that have occurred in the study of focus groups in recent years, the book begins with an updated introduction offering a discussion of current social science approaches to focus groups. Expanded coverage on the comparison of focus groups to individual interviews follows, and there is more material on the strengths and weaknesses of focus groups. The section on self-contained focus groups has also been expanded. Subsequent chapters have been revised to include examples from social scientists who have established their own practices and methodological research on focus groups. In conclusion, the author offers future directions and references that take into account the explosive growth of focus groups as a research tool for all social scientists.

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Methods of Behavior Analysis in Neuroscience, Second Edition (Frontiers in Neuroscience)

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Behavioral techniques used in animals to model human diseases and predict effects of novel drugs are as varied as the numbers of scientists who use them. Consequently, behavioral analysis is becoming an increasingly indispensable tool for the neuroscientist as information gained at the molecular and cellular level is put into practice in fully behaving animal subjects.

Uses Animal Behavior Models to Examine Effects of Therapeutic Treatments on Human Cognition

With contributions from more than 40 field specialists, Methods of Behavioral Analysis in Neuroscience reflects six years worth of updates to its first bestselling edition and elucidates new behavioral approaches that are quickly becoming field standards. This edition features new material on the relevance of transgenic mouse models for Alzheimer’s disease, behavioral methods for assessing the cognitive impairment associated with major psychotic disorders, the revival of the scopolamine reversal model for assessing the clinical relevance of AD drugs, and approaches to assessing cognitive impairment in aged mice.

Each chapter presents theoretical background, methodology, and data interpretation, and many chapters include real-world examples of experiments that incorporate the models. With step-by-step, easy-to-reproduce methodologies, this sharply focused work covers well-studied behavioral approaches that provide a better understanding of the effects of disease and allow for better predictability of the effects of therapeutic treatments on the human cognition. It takes the guesswork out of designing the methodology for many of the most widely used animal behavioral approaches developed for the study of brain disorders, drug abuse, toxicology, and cognitive drug development.

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Written in an accessible style, this volume tackles the topics of beginning to write, continuing to write, editing and getting published. It is indispensable not only to qualitative researchers but to anyone engaged in social research for whom the link between conducting research and writing it up seems more like an obstacle than an opportunity.

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Best Health Promotion & Education Research Methods: Using the Five Chapter Thesis/ Dissertation Model

Health Promotion & Education Research Methods: Using the Five Chapter Thesis/ Dissertation Model by Jones & Bartlett Learning




The main objective in writing a thesis or dissertation is to teach students how to conduct research in a planned and systematic way. Health Promotion & Education Research Methods, Second Edition provides an overview of the different approaches to research methods and introduces students to the five-chapter thesis or dissertation format.

Designed for health education specialists, this text uses plenty of health education examples, some from former graduate students’ work, to help students learn and understand how research is used within the Health Promotion and Education profession.Read more Health Promotion & Education Research Methods: Using the Five Chapter Thesis/ Dissertation Model

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Statistics for People Who (Think They) Hate Statistics

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Methods for Meta-Analysis in Medical Research (Wiley Series in Probability and Statistics - Applied Probability and Statistics Section) by Wiley




With meta-analysis methods playing a crucial role in health research in recent years, this important and clearly-written book provides a much-needed survey of the field.
Meta-analysis provides a framework for combining the results of several clinical trials and drawing inferences about the effectiveness of medical treatments. The move towards evidence-based health care and practice is underpinned by the use of meta-analysis. This book:
* Provides a thorough criticism and an up-to-date survey of meta-analysis methods
* Emphasises the practical approach, and illustrates the methods by numerous examples
* Describes the use of Bayesian methods in meta-analysis
* Includes discussion of appropriate software for each analysis
* Includes numerous references to more advanced treatment of specialist topics
* Refers to software code used in the examples available on the authors' Web site
Practising statisticians, statistically-minded clinicians and health research professionals will benefit greatly from the clear presentation and numerous examples. Medical researchers will grasp the basic principles of meta-analysis, and learn how to apply the various methods.Read more Methods for Meta-Analysis in Medical Research (Wiley Series in Probability and Statistics - Applied Probability and Statistics Section)

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Negative Binomial Regression

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Assessing Quality of Life in Clinical Trials: Methods and Practice by Oxford University Press, USA




Researchers in all clinical fields are fully aware of the importance of Quality of Life measurements in judging the efficacy of a given treatment. Psychological criteria play an important role in this evaluation. Assessment of Quality of Life in Clinical Trials: methods and practice explores the current state of the art and illustrates the benefits and potential of health related quality of life assessment in clinical trials. It covers a wide range of analytical issues, emphasizing new and innovative approaches that are of practical and clinical importance.Read more Assessing Quality of Life in Clinical Trials: Methods and Practice

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The explanation and implementation of statistical methods for the medical researcher or statistician remains an integral part of modern medical research. This book explains the use of experimental and analytical biostatistics systems. Its accessible style allows it to be used by the non-mathematician as a fundamental component of successful research.

Since the third edition, there have been many developments in statistical techniques. The fourth edition provides the medical statistician with an accessible guide to these techniques and to reflect the extent of their usage in medical research.

The new edition takes a much more comprehensive approach to its subject. There has been a radical reorganization of the text to improve the continuity and cohesion of the presentation and to extend the scope by covering many new ideas now being introduced into the analysis of medical research data. The authors have tried to maintain the modest level of mathematical exposition that characterized the earlier editions, essentially confining the mathematics to the statement of algebraic formulae rather than pursuing mathematical proofs.

Received the Highly Commended Certificate in the Public Health Category of the 2002 BMA Books Competition.

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Praise for the First Edition

". . . an excellent textbook . . . an indispensable reference for biostatisticians and epidemiologists."
—International Statistical Institute

A new edition of the definitive guide to classical and modern methods of biostatistics

Biostatistics consists of various quantitative techniques that are essential to the description and evaluation of relationships among biologic and medical phenomena. Biostatistical Methods: The Assessment of Relative Risks, Second Edition develops basic concepts and derives an expanded array of biostatistical methods through the application of both classical statistical tools and more modern likelihood-based theories. With its fluid and balanced presentation, the book guides readers through the important statistical methods for the assessment of absolute and relative risks in epidemiologic studies and clinical trials with categorical, count, and event-time data.

Presenting a broad scope of coverage and the latest research on the topic, the author begins with categorical data analysis methods for cross-sectional, prospective, and retrospective studies of binary, polychotomous, and ordinal data. Subsequent chapters present modern model-based approaches that include unconditional and conditional logistic regression; Poisson and negative binomial models for count data; and the analysis of event-time data including the Cox proportional hazards model and its generalizations. The book now includes an introduction to mixed models with fixed and random effects as well as expanded methods for evaluation of sample size and power. Additional new topics featured in this Second Edition include:

• Establishing equivalence and non-inferiority
• Methods for the analysis of polychotomous and ordinal data, including matched data and the Kappa agreement index
• Multinomial logistic for polychotomous data and proportional odds models for ordinal data
• Negative binomial models for count data as an alternative to the Poisson model
• GEE models for the analysis of longitudinal repeated measures and multivariate observations

Throughout the book, SAS is utilized to illustrate applications to numerous real-world examples and case studies. A related website features all the data used in examples and problem sets along with the author's SAS routines.

Biostatistical Methods, Second Edition is an excellent book for biostatistics courses at the graduate level. It is also an invaluable reference for biostatisticians, applied statisticians, and epidemiologists.

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This fully integrated text/workbook/software package lets students experience the challenge and excitement of doing real social research. The textbook provides a highly readable introduction to the fundamental processes and techniques of contemporary research - without the usual overload of obscure terms and rarely used methods. From the beginning of the textbook, discussions of data analysis are integrated with explanations of the research process. In this way, students understand the purpose behind - and the end result of - the techniques they learn. They stay focused on the "big picture." The accompanying workbook, written by Michael Corbett and Lynne Roberts, allows students to receive hands-on training and practical experience in doing social research. This collection of computer-based exercises requires students to think like social scientists. They work through the same questions, problems, and issues that researchers face. Social Research Using MicroCase provides the flexibility for a course, whether it follows a "lecture-and-test" format or includes independent research projects.

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Regression Methods in Biostatistics: Linear, Logistic, Survival, and Repeated Measures Models (Statistics for Biology and Health) by Springer




Here is a unified, readable introduction to multipredictor regression methods in biostatistics, including linear models for continuous outcomes, logistic models for binary outcomes, the Cox model for right-censored survival times, and generalized linear models for counts and other outcomes. The authors describe shared elements in methods for selecting, estimating, checking, and interpreting each model, and show that these regression methods deal with confounding, mediation, and interaction of causal effects in essentially the same way.Read more Regression Methods in Biostatistics: Linear, Logistic, Survival, and Repeated Measures Models (Statistics for Biology and Health)

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Leading researchers and experimentalists update the field of flow cytometry with detailed accounts of their many new, improved, and well-tested protocols and applications. Among the cutting-edge methods presented here are techniques for the detection of terminal transferase ion leukemia, intracellular cytokines, intracellular/intranuclear antigens in leukemia and tumors, and cyclins. Protocols for performing functional studies include methods for assessing viability, transmembrane potential, oxidative metabolism, environmental particulate uptake, drug resistance, and cellular pharmacokinetics. The methods for examining DNA address cell cycle analysis, DNA/RNA analysis of solid malignancies, solid-tumor DNA ploidy analysis, apoptosis, and fluorescent in situ hybridization. Protocols for chromosome sorting and 5-6 color analysis are included as advanced methods. The techniques in this volume take advantage of the new instrumentation and probes that have recently been developed to advance the field of flow cytometry and improve standard methods.

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Epidemiologic Research Methods in Public Health Practice is a unique book that focuses on quantitative methods in the field of epidemiology. This book stands out among other quantitative research texts, as it is one of the few to focus on the methods specific to the field of epidemiology, including procedures for protecting human subjects, sampling, recruiting, and research question formulation. It also contains methods for data collection, processing, and analysis, as well as techniques for publication, presentation, and funding. Epidemiologic Research Methods in Public Health Practice offers detailed treatment of the research steps along with tools to enhance students’ comprehension such as learning objectives, chapter outlines, templates, vocabulary, and study questions and exercises. Written from a real-world perspective This book is written from a real-world perspective, with a focus on threats to validity and reliability, as well as procedures to prevent and minimize them. It is a excellent guide for students of research methods in public health, and as a reference for both students and professionals as they conduct independent research. Key Features: • Details of every stage of a research project—from generating the research question to publishing results. • Study questions and exercises that can be used in the classroom or in independent research projects. • Lessons (including mistakes) learned from practical experience. • A comprehensive treatment of a particular stage of research in every chapter. • Specific examples of epidemiologic studies are used to illustrate procedures and concepts. Instructor Resources: Instructors's Manual, PowerPoint Lecture Slides, Test Bank

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An instructor's manual to accompany "Nursing Research: Principles and Methods", ISBN: 0-397-5205-X.

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