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High-Yield(TM) Biostatistics, Third Edition provides a concise review of the biostatistics concepts that are tested in the USMLE Step 1. Information is presented in an easy-to-follow format, with High-Yield Points that help students focus on the most important USMLE Step 1 facts. Each chapter includes review questions, and an appendix provides answers with explanations. This updated edition includes additional information on epidemiology/public health. The improved, more readable format features briefer, bulleted paragraphs, more High-Yield Points, and boldfaced terms.

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St. George’s Hospital Medical School, London, UK. Textbook, for medical students, nurses, clinicians, and medical researchers, covers statistical work required for a course in medicine and for the exams of most Royal Colleges. Includes design of clinical trials and epidemiological studies, data collection, and summarizing and presenting data.

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The get-it-over-with-quickly approach to statistics has been encouraged – and often necessitated – by the short time allotted to it in most curriculums. If included at all, statistics is presented briefly, as a task to be endured mainly because pertinent questions may appear in subsequent examinations for licensure or other certifications. However, in later professional activities, clinicians and biomedical researchers will constantly be confronted with reports containing statistical expressions and analyses.Not just a set of cookbook recipes, Principles of Medical Statistics is designed to get you thinking about data and statistical procedures. It covers many new statistical methods and approaches like box plots, stem and leaf plots, concepts of stability, the bootstrap, and the jackknife methods of resampling. The book is arranged in a logical sequence that advances from simple to more elaborate results. The text describes all the conventional statistical procedures, and offers reasonably rigorous accounts of many of their mathematical justifications. Although the conventional mathematical principles are given a respectful account, the book provides a distinctly clinical orientation with examples and teaching exercises drawn from real world medical phenomena.Statistical procedures are an integral part of the basic background needed by biomedical researchers, students, and clinicians. Containing much more than most elementary texts, Principles of Medical Statistics fills the gap often found in the current curriculum. It repairs the imbalance that gives so little attention to the role of statistics as a prime component of basic biomedical education.

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Medical Statistics Made Easy 2nd edition continues to provide medical students and professionals with the easiest possible explanations of the key statistical techniques used throughout the medical literature. Featuring a new section on Bayesian statistics, and a comprehensive updating of the ‘Statistics at work’ section, this new edition retains a consistent, concise, and user-friendly format. Each technique is graded for ease of use and frequency of appearance in the mainstream medical journals.

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This hands-on guide is much more than a basic medical statistics introduction. It equips you with the statistical tools required for evidence-based clinical research.

Each chapter provides a clear step-by-step guide to each statistical test with practical instructions on how to generate and interpret the numbers, and present the results as scientific tables or graphs.

Showing you how to:

• analyse data with the help of data set examples (Click here to download datasets)
• select the correct statistics and report results for publication or presentation
• understand and critically appraise results reported in the literature

Each statistical test is linked to the research question and the type of study design used. There are also checklists for critically appraising the literature and web links to useful internet sites.

Clear and concise explanations, combined with plenty of examples and tabulated explanations are based on the authors’ popular medical statistics courses. Critical appraisal guidelines at the end of each chapter help the reader evaluate the statistical data in their particular contexts.

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The second edition of this highly successful, user-friendly book, continues to provide an excellent foundation in statistics for the uninitiated, making it ideal for both students and professionals in health care and medicine who may be either approaching the subject for the first time, or who want to refresh their understanding of any one of a number of statistical concepts and applications.

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This volume, representing a compilation of authoritative reviews on a multitude of uses of statistics in epidemiology and medical statistics written by internationally renowned experts, is addressed to statisticians working in biomedical and epidemiological fields who use statistical and quantitative methods in their work. While the use of statistics in these fields has a long and rich history, explosive growth of science in general and clinical and epidemiological sciences in particular have gone through a see of change, spawning the development of new methods and innovative adaptations of standard methods. Since the literature is highly scattered, the Editors have undertaken this humble exercise to document a representative collection of topics of broad interest to diverse users. The volume spans a cross section of standard topics oriented toward users in the current evolving field, as well as special topics in much need which have more recent origins. This volume was prepared especially keeping the applied statisticians in mind, emphasizing applications-oriented methods and techniques, including references to appropriate software when relevant.

· Contributors are internationally renowned experts in their respective areas
· Addresses emerging statistical challenges in epidemiological, biomedical, and pharmaceutical research
· Methods for assessing Biomarkers, analysis of competing risks
· Clinical trials including sequential and group sequential, crossover designs, cluster randomized, and adaptive designs
· Structural equations modelling and longitudinal data analysis.

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This accessible introduction to the terminology of medical statistics describes more than 1500 terms all clearly explained, illustrated and defined in non-technical language, without any mathematical formulae! With the majority of terms revised and updated and the addition of more than 100 brand new definitions, this new edition will enable medical students to quickly grasp the meaning of any of the statistical terms they encounter when reading the medical literature. Furthermore, annotated comments are used judiciously to warn the unwary of some of the common pitfalls that accompany some cherished biomedical statistical techniques. Wherever possible, the definitions are supplemented with a reference to further reading where the reader may gain a deeper insight, so whilst the definitions are easily disgestible, they also provide a stepping stone to a more sophisticated comprehension. Statistical terminology can be quite bewildering for clinicians: this guide will be a lifesaver.

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For use in any course where use of a statistical software package is desired. SPSS brings affordable, professional statistical analysis and modeling tools right to a student’s own PC. Based on the professional version of one of the world’s leading desktop statistical software packages, SPSS 10.0 for Windows Student Version includes an easy-to-use interface and comprehensive on-line help that enables students to learn statistics, not software. An arsenal of robust features, including time series, allows for even the most complex analysis. System Requirements –Microsoft Windows 95/98 or NT 4.0 –586DX or better IBM-compatible PC –68MB hard disk space –32MB RAM minimum –32MB virtual memory –SVGA monitor –Windows-compatible mouse.

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Book Info:

4th, completely revised and enlarged edition
42 figures and 113 tables, 2007
By David E. Matthews Vernon T

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