Sample Size Tables for Clinical Studies

This book provides statisticians and researchers with the statistical tools – equations, formulae and numerical tables – to design and plan clinical studies and carry out accurate, reliable and reproducible analysis of the data so obtained. There is no way around this as incorrect procedure in clinical studies means that the researcher’s paper will not be accepted by a peer-reviewed journal. Planning and analysing clinical studies is a very complicated business and this book provides indispensible factual information.

From the Inside Flap

Are you concerned about how to design your clinical study?Are you worried about your papers not being accepted by a peer-reviewed journal?
You are now holding a toolbox for medical statisticians and clinical investigators who want the statistical tools – equations, formulae and numerical tables – needed to design and plan clinical studies.
Sample Size Tables for Clinical Studies, 3^rd Edition provides indispensable factual information to demystify what many consider a complicated area while the accompanying software will help implement designing and planning of clinical studies

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http://www.filesonic.com/file/1504421301/Sample_Size_Tables_for_Clinical_Studies.pdf

Handbook of Statistics in Clinical Oncology (Fluid Power & Control Series)

This book compiles state-of-the-art statistical approaches to solving problems in clinical oncology, focusing on clinical trials in phases I, II, and III, as well as quality of life and economic analyses, and exploratory methods.
Examines trial design treatment based on toxicity and survival!
Featuring over 1000 references, more than 40 world-renowned contributors, and 300 equations, tables, and drawings, the Handbook of Statistics in Clinical Oncology

provides a comprehensive discussion of sample size

considers analytical problems generated by controlling treatment costs and maintaining quality of life

demonstrates the breadth and depth of current activity in the field of survival analysis

sets the limits on what can and cannot be concluded from single and multiple clinical trials

and more!
The best single source for up-to-date graphical, tree-based, and other statistical methods, the Handbook of Statistics in Clinical Oncology is fascinating reading for oncologists, cancer researchers, biostatisticians, applied statisticians, and medical and graduate students in these disciplines.

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http://www.filesonic.com/file/1482706994/0824790251HBStatisticsClinicalOncologyB.pdf

Modern Issues and Methods in Biostatistics (Statistics for Biology and Health) - July 2011 Edition

Classic biostatistics, a branch of statistical science, has as its main focus the applications of statistics in public health, the life sciences, and the pharmaceutical industry. Modern biostatistics, beyond just a simple application of statistics, is a confluence of statistics and knowledge of multiple intertwined fields. The application demands, the advancements in computer technology, and the rapid growth of life science data (e.g., genomics data) have promoted the formation of modern biostatistics. There are at least three characteristics of modern biostatistics: (1) in-depth engagement in the application fields that require penetration of knowledge across several fields, (2) high-level complexity of data because they are longitudinal, incomplete, or latent because they are heterogeneous due to a mixture of data or experiment types, because of high-dimensionality, which may make meaningful reduction impossible, or because of extremely small or large size; and (3) dynamics, the speed of development in methodology and analyses, has to match the fast growth of data with a constantly changing face.
This book is written for researchers, biostatisticians/statisticians, and scientists who are interested in quantitative analyses. The goal is to introduce modern methods in biostatistics and help researchers and students quickly grasp key concepts and methods. Many methods can solve the same problem and many problems can be solved by the same method, which becomes apparent when those topics are discussed in this single volume.


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An Introduction to Medical Statistics (Oxford Medical Publications)

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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Dictionary of Evidence-Based Medicine

A dictionary of commonly used terms in evidence-based medicine. It contains definitions, explanatory notes and references. This text is suitable for both pharmacist and doctors not familiar with statistical terms, and statisticians not familiar with pharmaceutical or clinical terminology.


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http://www.filesonic.com/file/1438299721/Done1Di14oE2B5M.rar

Medical Statistics at a Glance, Second Edition (At a Glance)

Medical Statistics at a Glance provides a concise and accessible introduction and revision aid for undergraduate medical students and anyone wanting a straightforward introduction to this complex subject. Following the familiar, easy-to-use at a Glance format, each topic is presented as a double-page spread with key facts accompanied by clear, informative tables, formulae and graphs.
This new edition of Medical Statistics at a Glance:

• Contains a second colour throughout to enhance the visual appeal, making the subject even easier to understand
• Features worked examples on each topic, with emphasis on computer analysis of data rather than hand calculations
• Includes new topics on Rates and Poisson regression, Generalised linear models, Explanatory variables in statistical models and Regression models for clustered data.
• Has an accompanying website http://www.medstatsaag.com/containing supplementary material including multiple choice questions (MCQs) with annotated answers for self-assessment

Medical Statistics at a Glance will appeal to all medical students, junior doctors and researchers in biomedical and pharmaceutical disciplines.


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Principles of Medical Statistics

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

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.
Medical Statistics Made Easy 2nd edition is essential reading for anyone looking to understand:
confidence intervals and probability values
numbers needed to treat tests and other parametric tests survival analysis.If you need to understand the medical literature, then you need to read this book.


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Medical Statistics from Scratch

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.
As with the first edition, the informal and light-hearted style, and the author’s avoidance of too much mathematics, makes the material very accessible. The addition of two new chapters, one on survival analysis, the other on systematic review and meta-analysis, significantly improves the coverage offered.
New in this edition:

• Measuring survival: Kaplan-Meier survival curves; comparing survival in two or more groups.Hazard ratios and the Cox regression model.

• Systematic review: methods and problems; combining results – meta-analytic

methods.
Reviews of first edition:
His (the author’s) work can be highly recommended for health workers, medical students and any other professionals who are revising statistics or approaching it for the first time.Statistical Methods in Medical Research
This basic book is exciting and fun to read. Information is presented in a digestable and humorous format. Examples are appropriate to each subject area and easily understood. Clinical Trials

• Contains work-through examples, using up-to-date, illustrative data.
• Gives insightful examples of the use of the SPSS and Minitab statistics
• programmes for some common applications.
• Provides lots of exercises to improve understanding and consolidate learning

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http://www.6ybh-upload.com/xgo8k4z8p6tf/Done9Me36St5f6Sc.rar

Study Design and Statistical Analysis: A Practical Guide for Clinicians

This book takes the reader through the entire research process: choosing a question, designing a study, collecting the data, using univariate, bivariate and multivariable analysis, and publishing the results. It does so by using plain language rather than complex derivations and mathematical formulas. It focuses on the nuts and bolts of performing research by asking and answering the most basic questions about doing research studies. Making good use of numerous tables, graphs and tips, this book helps to demystify the process. A generous number of up-to-date examples from the clinical literature give an illustrated and practical account of how to use multivariable analysis.

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http://www.6ybh-upload.com/yiw7cpuwd648/Done4St25An.rar

Studying a Study and Testing a Test: How to Read the Medical Evidence

In today’s rapidly changing world of clinical practice, old assumptions quickly fall under the weight of new evidence. But to make effective clinical decisions, you must face a deluge of data published in the health research literature.
With this best-selling text as your guide, you’ll discover a concise, stepwise program that will help you evaluate clinical studies, identify flaws in study design, interpret statistics, and apply evidence from clinical research to your practice.
Sharpen your analytical skills with these insightful features…
Step-by-step approach ideal for both students and practitioners guides you through the health research literature, showing you the ingredients that go into a meaningful study, clues to potential study flaws, and ways to apply solid evidence in clinical practice. Uniform framework uses a simple six-point framework based on the mnemonic M.A.A.R.I.E. You will learn to evaluate studies in terms of Methods, Assignment, Assessment, Results, Interpretation, and Extrapolation. Hypothetical illustrations demonstrate the limitations of today’s published studies. Unique learning aids—including question checklists, scenarios illustrating study design, and flaw-catching exercises—help you reinforce key facts and retain what you’ve learned.
NEW to the Fifth Edition…
New “Guide to the Guidelines” section helps you make sense of established and emerging clinical guidelines, and helps you understand the role of these guidelines in practice. Current information on outcomes includes discussions of safety and of the effects of interactions on outcomes. More graphic presentation of statistics helps make complex concepts easy to grasp and apply using a flowchart of statistics. StudyingaStudy.com Website is an integral feature of this edition providing interactive materials for all sections of the book. The Website provides practice using the M.A.A.R.I.E. framework, interactive flaw-catching and Selecting a Statistics exercises, self-testing questions-answers and exercises using abstracts from real articles. Courses and Journal Clubs can now use Studying a Study and Testing a Test with the help of a special section of the Website.
Clear the path to a new understanding of evidence-based medicine…and integrate today’s best evidence into tomorrow’s practice. Order your copy of Studying a Study and Testing a Test, Fifth Edition today!


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Medical Statistics: A Guide to Data Analysis and Critical Appraisal

Jan 282009

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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http://www.6ybh-upload.com/rd1epjxsn1ct/Done142M2StaG1t2D3A.rar

Medical Statistics from A to Z: A Guide for Clinicians and Medical Students

From ‘Abcissa’ to ‘Zygosity determination’ – 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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http://www.6ybh-upload.com/m6q598wwvxbb/Done4St3A2Z.rar

Statistical Methods for Health Sciences, Second Edition

Building upon material presented in the first edition, Statistical Methods for Health Sciences, Second Edition continues to address the analytical issues related to the modeling and analysis of cluster data, both physical clustering-sampling of communities, families, or herds-and overtime clustering-longitudinal, repeated measures, or time series data. All examples in this new edition are solved using the SAS package, and all SAS programs are provided for understanding material presented. Numerous medical examples make this text especially suitable for applied health scientists and epidemiologists.








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Using and Understanding Medical Statistics

Univ. of Waterloo, Canada. Presents many of the more complex statistical methods and techniques currently appearing in medical publications. This edition features new chapters on Poisson regression, the analysis of variance, meta-analysis, diagnostic tests, and more. For clinicians. Previous edition: c1996. Expanded-outline format. DNLM: Biometry-methods.
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http://www.mediafire.com/?jtmgiaiyhmx

Encyclopedia of Biostatistics

 

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.

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GET IT HERE (Combine both parts using WINRAR)

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http://ifile.it/hvdlwr3

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http://ifile.it/b1j2tw7

SPSS Survival Manual: A Step by Step Guide to Data Analysis Using SPSS for Windows

In this fully revised edition of her bestselling text, Julie Pallant guides you through the entire research process, helping you choose the right data analysis technique for your project. From the formulation of research questions, to the design of the study and analysis of data, to reporting the results, Julie discusses basic and advanced statistical techniques. She outlines each technique clearly, with step-by-step procedures for performing the analysis, a detailed guide to interpreting SPSS output and an example of how to present the results in a report.
For both beginners and experienced SPSS users in psychology, sociology, health sciences, medicine, education, business and related disciplines, the SPSS Survival Manual is an essential guide. Illustrated with screen grabs, examples of output and tips, it is supported by a website with sample data and guidelines on report writing.
In this third edition all chapters have been updated to accommodate changes to SPSS procedures, screens and output in version 15. A new flowchart is included for SPSS procedures, and factor analysis procedures have been streamlined. It also includes more examples and material on syntax. Additional data files are available on the book’s supporting website.

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GET IT HERE

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http://hotfile.com/dl/27649885/96e3db2/SPSS_Survival_Manual.pdf.html

SPSS 10.0 for Windows Student Version

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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http://rapidshare.com/files/220670579/Spss_10.rar

High-Yield Biostatistics (High-Yield Series)

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.
http://www.mediafire.com/?ihn2eyxmmnb