Best Applied Multilevel Analysis: A Practical Guide for Medical Researchers (Practical Guides to Biostatistics and Epidemiology)

Applied Multilevel Analysis: A Practical Guide for Medical Researchers (Practical Guides to Biostatistics and Epidemiology) by Cambridge University Press




This is a practical introduction to multilevel analysis suitable for all those doing research. Most books on multilevel analysis are written by statisticians; those books are difficult for non-mathematical researchers. In contrast, this volume provides an accessible account on the practical application of multilevel analysis in research. Many worked examples, with computer output, are given to illustrate and explain this subject. Datasets of the examples are available on the internet, so the reader can reanalyze the data. This approach will help bridge the conceptual and communication gap that exists between researchers and statisticians.Read more Applied Multilevel Analysis: A Practical Guide for Medical Researchers (Practical Guides to Biostatistics and Epidemiology)

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Best Meta-Analysis in Medicine and Health Policy (Chapman & Hall/CRC Biostatistics Series)

Meta-Analysis in Medicine and Health Policy (Chapman & Hall/CRC Biostatistics Series) by CRC Press




This remarkable text raises the analysis of data in health sciences and policy to new heights of refinement and applicability by introducing cutting-edge meta-analysis strategies while reviewing more commonly used techniques. Each chapter builds on sound principles, develops methodologies to solve statistical problems, and presents concrete applications used by experienced medical practitioners and health policymakers. Written by more than 30 celebrated international experts, Meta-Analysis in Medicine and Health Policy employs copious examples and pictorial presentations to teach and reinforce biostatistical techniques more effectively and poses numerous open questions of medical and health policy research.Read more Meta-Analysis in Medicine and Health Policy (Chapman & Hall/CRC Biostatistics Series)

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Buy Encyclopedia of Biostatistics: 8-Volume Set

Encyclopedia of Biostatistics: 8-Volume Set by Wiley




The first edition of the Encyclopedia of Biostatistics proved an outstanding achievement in scientific publishing. A truly international work, its coverage ranges through statistical issues pertinent to life scientists, healthcare professionals and practising statisticians.

Wiley is now pleased to announce the Second Edition of this landmark reference work publishing in February 2005.  Drawing on the expertise of the original editorial team the new edition will be revised and expanded to provide, in particular, up-to-date material on bio-informatics and statistical genetics.

This major publication is easily accessible for all those involved in statistical activities in medicine and health sciences, from health professionals who are not highly trained in statistics, through to fully qualified and experienced statisticians.

For further information on this new edition please visit: www.wileyeurope.com/go/eob

Reviews of the First Edition

“…a resource beyond compare...the author index reads like a contemporary Who's Who...nothing in biostatistics is left uncovered...unsurpassed in quality and quantity"
—British Medical Journal

"An unsurpassed addition to the statistical literature …The present scope of statistics in medical research is nowhere more manifest …the coverage is breathtaking"
—International Journal of EpidemiologyRead more Encyclopedia of Biostatistics: 8-Volume Set

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Advances in Clinical Trial Biostatistics (Chapman & Hall/CRC Biostatistics Series) by CRC Press




From aspects of early trials to complex modeling problems, Advances in Clinical Trial Biostatistics summarizes current methodologies used in the design and analysis of clinical trials. Its chapters, contributed by internationally renowned methodologists experienced in clinical trials, address topics that include Bayesian methods for phase I clinical trials, adaptive two-stage clinical trials, and the design and analysis of cluster randomization trials, trials with multiple endpoints, and therapeutic equivalence trials. Other discussions explore Bayesian reporting, methods incorporating compliance in treatment evaluation, and statistical issues emerging from clinical trials in HIV infection.
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Best Study Guide to Epidemiology And Biostatistics (Study Guide to Epidemiology and Biostatistics)

Study Guide to Epidemiology And Biostatistics (Study Guide to Epidemiology and Biostatistics) by Jones & Bartlett Learning




Perfect for graduate and undergraduate students, this book helps the reader understand some of the most elusive fundamentals of epidemiology and biostatistics. The sixth edition has been thoroughly revised and further clarifies difficult concepts such as person-time incidence rates, confounding, effect modification, P values, and survival analysis. The authors have also covered new topics that are increasingly seen in current literature such as attributable risk, the use of odds and the application of probabilistic concepts in epidemiology, the reliability of screening tests, and longitudinal regression models. Features: 46 objectives, expressed in behavioral terms, cite the concepts to be learned and the level at which students are expected to perform A final chapter which introduces a systematic procedure to aid the student in the evaluation of health science articles Study Notes, which can be used as the sole source of input to cover the material or used to supplement attendance at a lecture series Chapter Exercises, which encourage students to immediately use their newly acquired knowledge, and thus improve retention through practice Multiple Choice Examinations, which have the same scope and are on the same level that students may expect to encounter in professional examinationsRead more Study Guide to Epidemiology And Biostatistics (Study Guide to Epidemiology and Biostatistics)

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Best Evidence-Based Diagnosis (Practical Guides to Biostatistics and Epidemiology)

Evidence-Based Diagnosis (Practical Guides to Biostatistics and Epidemiology) by Cambridge University Press




Evidence-Based Diagnosis is a textbook about diagnostic, screening, and prognostic tests in clinical medicine. The authors' approach is based on many years of experience teaching physicians in a clinical research training program. Although requiring only a minimum of mathematics knowledge, the quantitative discussions in this book are deeper and more rigorous than in most introductory texts. The book includes numerous worked examples and 60 problems (with answers) based on real clinical situations and journal articles. The book will be helpful and accessible to anyone seeking to select, develop, or market medical tests. Topics covered include: the diagnostic process, test reliability and accuracy, likelihood ratios, and ROC curves, testing and treatment thresholds, critical appraisal of studies of diagnostic, screening and prognostic tests, test independence and methods of combining tests, quantifying treatment benefits using randomized trials and observational studies, Bayesian interpretation of P values and confidence intervals and challenges for evidence-based diagnosis and evidence-based medicine.Read more Evidence-Based Diagnosis (Practical Guides to Biostatistics and Epidemiology)

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The definitive reference work on clinical trials, this book presents a wealth of detailed, practical information on the design, conduct and analysis of both single centre and multicentre trials.

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Learn biostatistics the easy way. This outstanding resource presents the key concepts you need to understand biostatistics and how to apply them in clinical medicine. Easy-to-understand examples and analogies explain complex concepts, and practical applications provide you with real tools for use in daily practice. The book's organization is intuitive, so that concepts build upon one another, maximizing understanding. This book will give you the confidence to appraise the existing literature - and the vocabulary you need to discuss it.

• Uses an easy-to-understand presentation and writing style to make the material easily accessible.
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• Presents concise but comprehensive coverage to create easily accessible yet complete information.
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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.

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Allied health professionals rely on Biostatistics for its high standards of statistical accuracy. It helps them develop a set of statistical tools that are relevant to their field. Now in its ninth edition, the book integrates new applications from several biological science fields throughout the pages. Each chapter now opens with bulleted objectives that highlight the main ideas. Summary boxes of formulae and statistical rules are presented for easy reference and review. Support is also provided for multiple programs such as SPSS, SAS, and STATA, in addition to Minitab. This includes screen captures and technology boxes with step-by-step help. Health professionals will then gain the ability to use technology to analyze data.

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Bernard Rosner's FUNDAMENTALS OF BIOSTATISTICS is a practical introduction to the methods, techniques, and computation of statistics with human subjects. It prepares students for their future courses and careers by introducing the statistical methods most often used in medical literature. Rosner minimizes the amount of mathematical formulation (algebra-based) while still giving complete explanations of all the important concepts. As in previous editions, a major strength of this book is that every new concept is developed systematically through completely worked out examples from current medical research problems.

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This new book provides a unified, in-depth, readable introduction to the multipredictor regression methods most widely used in biostatistics: linear models for continuous outcomes, logistic models for binary outcomes, the Cox model for right-censored survival times, repeated-measures models for longitudinal and hierarchical outcomes, and generalized linear models for counts and other outcomes. Treating these topics together takes advantage of all they have in common. The authors point out the many-shared elements in the methods they present for selecting, estimating, checking, and interpreting each of these models. They also show that these regression methods deal with confounding, mediation, and interaction of causal effects in essentially the same way. The examples, analyzed using Stata, are drawn from the biomedical context but generalize to other areas of application. While a first course in statistics is assumed, a chapter reviewing basic statistical methods is included. Some advanced topics are covered but the presentation remains intuitive. A brief introduction to regression analysis of complex surveys and notes for further reading are provided.

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The text focuses on practical areas of statistics in terms of their relevance to biomedical applications, statistical hypothesis testing and estimation. Illustrative examples and challenging problems, culled from recent biomedical literature, highlight the discussions throughout and help foster a more intuitive approach to biostatistics. Packaged with the book or available separately, a software program (Windows or Mac) offers an easy-to-use menu-driven program which performs 17 commonly used statistical tests featured in the text. The program can be used with or without the text. The manual makes the subject easy to understand and relevant to study and research.

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Examines Critical Decisions for Transitioning Lab Science to a Clinical Setting
The development of therapeutic pharmaceutical compounds is becoming more expensive, and the success rates for getting such treatments approved for marketing and to the patients is decreasing. As a result, translational medicine (TM) is becoming increasingly important in the healthcare industry – a means of maximizing the consideration and use of information collected as compounds transition from initial lab discovery, through pre-clinical testing, early clinical trials, and late confirmatory studies that lead to regulatory approval of drug release to patients.

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Elaborating on how to introduce TM into clinical studies, this authoritative work presents a keen approach to building, executing, and validating statistical models that consider data from various phases of development. It also delineates a truly translational example to help bolster understanding of discussed concepts.

This comprehensive guide effectively demonstrates how to overcome obstacles related to successful TM practice. It contains invaluable information for pharmaceutical scientists, research executives, clinicians, and biostatisticians looking to expedite successful implementation of this important process.

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Succinct yet thorough, Epidemiology, Biostatistics, and Preventive Medicine, 3rd Edition brings you today's best knowledge on epidemiology, biostatistics, preventive medicine, and public health-in one convenient source. You'll find the latest on healthcare policy and financing · infectious diseases · chronic disease · and disease prevention technology. This text also serves as an outstanding resource for preparing for the USMLE, and the American Board of Preventive Medicine recommends it as a top review source for its core specialty examination.

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