Libri Statistica in Epidemiologia e statistica medica: Novità e Ultime Uscite
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Elementi di biostatistica ed epidemiologia clinica per l'analisi degli studi osservazionali


editore: SEEd

pagine: 76

Questa guida è stata scritta con l'obiettivo di favorire, in modo semplice e intuitivo e partendo dalla research question, la
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Biostatistica essenziale. Una guida non matematica

Harvey Motulsky

editore: Piccin-Nuova Libraria

pagine: 221

Comprendere a fondo un lavoro scientifico e fare ricerca è impossibile senza una qualche nozione di statistica
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Statistica medica

Martin Bland

editore: Maggioli Editore

pagine: 658

Questo libro, punto di riferimento in ambito internazionale, nasce dall'intento di rendere disponibili ai ricercatori e ai pro
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Medical Statistics at a Glance

Aviva Petrie, Caroline Sabin


pagine: 208

Now in its fourth edition, Medical Statistics at a Glance is a concise and accessible introduction to this complex subject. It provides clear instruction on how to apply commonly used statistical procedures in an easy-to-read, comprehensive and relevant volume. This new edition continues to be the ideal introductory manual and reference guide to medical statistics, an invaluable companion for statistics lectures and a very useful revision aid. This new edition of Medical Statistics at a Glance: Offers guidance on the practical application of statistical methods in conducting research and presenting results Explains the underlying concepts of medical statistics and presents the key facts without being unduly mathematical Contains succinct self-contained chapters, each with one or more examples, many of them new, to illustrate the use of the methodology described in the chapter. Now provides templates for critical appraisal, checklists for the reporting of randomized controlled trials and observational studies and references to the EQUATOR guidelines for the presentation of study results for many other types of study Includes extensive cross-referencing, flowcharts to aid the choice of appropriate tests, learning objectives for each chapter, a glossary of terms and a glossary of annotated full computer output relevant to the examples in the text Provides cross-referencing to the multiple choice and structured questions in the companion Medical Statistics at a Glance Workbook Medical Statistics at a Glance is a must-have text for undergraduate and post-graduate medical students, medical researchers and biomedical and pharmaceutical professionals.
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Statistica per le scienze mediche

Un approccio non-matematico

Christine P. Dancey

editore: Piccin

pagine: 556

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Biostatistica. Tutto quello che avreste voluto sapere

Geoffrey R. Norman, David L. Streiner

editore: CEA

pagine: 448

Questa seconda edizione italiana, derivata dalla quarta in lingua inglese, non solo risponde alle comuni domande degli student
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An Introduction to Medical Statistics

Martin Bland

editore: Oxford University Press

pagine: 448

Now in its Fourth Edition, An Introduction to Medical Statistics continues to be a 'must-have' textbook for anyone who needs a clear logical guide to the subject. Written in an easy-to-understand style and packed with real life examples, the text clearly explains the statistical principles used in the medical literature. Taking readers through the common statistical methods seen in published research and guidelines, the text focuses on how to interpret and analyse statistics for clinical practice. Using extracts from real studies, the author illustrates how data can be employed correctly and incorrectly in medical research helping readers to evaluate the statistics they encounter and appropriately implement findings in clinical practice. End of chapter exercises, case studies and multiple choice questions help readers to apply their learning and develop their own interpretative skills. This thoroughly revised edition includes new chapters on meta-analysis, missing data, and survival analysis.
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Fondamenti di statistica. Per le discipline biomediche

Marc M. Triola, Mario F. Triola

editore: Pearson

pagine: 279

Questo volume costituisce una versione ridimensionata e riveduta di "Statistica per le discipline biosanitarie" degli stessi autori. Scritto in maniera semplice, è ricco di esempi ed esercizi ispirati alla Biologia e alla Medicina che lo rendono un ottimo strumento didattico per un primo corso di Statistica per studenti delle discipline biomediche. Ogni argomento viene introdotto tramite esempi e casi concreti che ne illustrano l'applicazione e l'utilità pratica. I concetti teorici più astratti riguardanti il calcolo delle probabilità vengono trattati in maniera elementare, pur mantenendo il necessario rigore espositivo. Alcuni esempi di output generati dai software statistici SPSS, SAS, STATDISK ed Excel, forniti nel contesto di esempi ed esercizi, consentono inoltre di sottolineare adeguatamente il ruolo essenziale dell'impiego di questi o analoghi supporti informatici nell'esecuzione di ogni analisi statistica. In quest'ottica, si è ritenuto opportuno aggiungere anche alcuni esempi di utilizzo del software R data la sua ampia diffusione a scopo didattico.

Munro's Statistical Methods for Health Care Research

Elizabeth Kelvin, Stacey Beth Plichta

editore: Lippincott Williams and Wilkins

pagine: 576

This text provides students with a solid foundation for understanding data analysis and specific statistical techniques. Focusing on the most current and frequently used statistical methods in today's health care literature, the book covers essential material for a variety of program levels including in-depth courses beyond the basic statistics course. Well-organized, clear text discussions and great learning tools help students overcome the complexities and fully comprehend the concepts of this often intimidating area of study.
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Statistics Applied to Clinical Studies

Aeilko H. Zwinderman, Ton J. Cleophas

editore: Springer

pagine: 780

Thanks to the omnipresent computer, current statistics can include data files of many thousands of values, and can perform any exploratory analysis in less than seconds. This development, however fascinating, generally does not lead to simple results. We should not forget that clinical studies are, mostly, for confirming prior hypotheses based on sound arguments, and the simplest tests provide the best power and are adequate for such studies. In the past few years the authors of this 5th edition, as teachers and research supervisors in academic and top-clinical facilities, have been able to closely observe the latest developments in the field of clinical data analysis, and they have been able to assess their performance. In this 5th edition the 47 chapters of the previous edition have been maintained and upgraded according to the current state of the art, and 20 novel chapters have been added after strict selection of the most valuable and promising novel methods. The novel methods are explained using practical examples and step-by-step analyses readily accessible for non-mathematicians. All of the novel chapters have been internationally published by the authors in peer-reviewed journal, including the American Journal of Therapeutics, the European Journal of Clinical Investigation, The International journal of Clinical Pharmacology and therapeutics, and other journals, and permission is granted by all of them to use this material in the current book. We should add that the authors are well-qualified in their fields of knowledge. Professor Zwinderman is president-elect of the International Society of Biostatistics, and Professor Cleophas is past-president of the American College of Angiology. From their expertise they should be able to make adequate selections of modern methods for clinical data analysis for the benefit of physicians, students, and investigators. The authors, although from a different discipline, one clinician and one statistician, have been working and publishing together for over 10 years, and their research of statistical methodology can be characterized as a continued effort to demonstrate that statistics is not mathematics but rather a discipline at the interface of biology and mathematics. They firmly believe that any reader can benefit from this clinical approach to statistical data analysis.
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Primer of Biostatistics

Stanton A. Glantz

editore: McGraw-Hill Medical

pagine: 320

This is a concise, engagingly written introduction to understanding statistics as they apply to medicine and the life sciences. CD-ROM performs 30 statistical tests. Don't be afraid of biostatistics anymore! "Primer of Biostatistics, 7th Edition" demystifies this challenging topic in an interesting and enjoyable manner that assumes no prior knowledge of the subject. Faster than you thought possible, you'll understand test selection and be able to evaluate biomedical statistics critically, knowledgeably, and confidently. With "Primer of Biostatistics", you'll start with the basics, including analysis of variance and the t test, then advance to multiple comparison testing, contingency tables, regression, and more. Illustrative examples and challenging problems, culled from the recent biomedical literature, highlight the discussions throughout and help to foster a more intuitive approach to biostatistics. The companion CD-ROM contains everything you need to run thirty statistical tests of your own data. Review questions and summaries in each chapter facilitate the learning process and help you gauge your comprehension. By combining whimsical studies of Martians and other planetary residents with actual papers from the biomedical literature, the author makes the subject fun and engaging. Coverage includes: How to summarize data How to test for differences between groups; The t test; How to analyze rates and proportions; What does "not significant" really mean; Confidence intervals; How to test for trends; Experiments when each subject receives more than one treatment; Alternatives to analysis of variance and the t test based on ranks; and, How to analyze survival data.
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Oxford Handbook of Medical Statistics

Janet Peacock, Philip Peacock

editore: Oxford University Press

pagine: 544

To practice evidence-based medicine, doctors need to understand how research is conducted and be able to critically appraise research evidence. A sound understanding of medical statistics is essential for the correct evaluation of medical research and the appropriate implementation of findings in clinical practice. Written in an easily accessible style, the Oxford Handbook of Medical Statistics provides doctors and medical students with a concise and thorough account of this often difficult subject. It promotes understanding and interpretation of statistical methods across a wide range of topics, from study design and sample size considerations, through t- and chi-squared tests, to complex multifactorial analyses, using examples from published research. References for further reading are given for more information on specific topics. Helping readers to conduct their own research or critically appraise other's work, this volume provides all the information readers need to understand and interpret medical statistics.
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Medical Biostatistics for Complex Diseases

Frank Emmert-Streib, Matthias Dehmer

editore: Wiley-VCH Verlag GmbH

pagine: 412

A collection of highly valuable statistical and computational approaches designed for developing powerful methods to analyze large-scale high-throughput data derived from studies of complex diseases. Such diseases include cancer and cardiovascular disease, and constitute the major health challenges in industrialized countries. They are characterized by the systems properties of gene networks and their interrelations, instead of individual genes, whose malfunctioning manifests in pathological phenotypes, thus making the analysis of the resulting large data sets particularly challenging. This is why novel approaches are needed to tackle this problem efficiently on a systems level. Written by computational biologists and biostatisticians, this book is an invaluable resource for a large number of researchers working on basic but also applied aspects of biomedical data analysis emphasizing the pathway level.
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An Introduction to Statistics in Early Phase Trials

David Machin, Say-Beng Tan
e altri

editore: Wiley-Blackwell (an imprint of John Wiley & Sons Ltd)

pagine: 264

All new medicines and devices undergo early phase trials to assess,interpret and better understand their efficacy, tolerability andsafety. An Introduction to Statistics in Early Phase Trialsdescribes the practical design and analysis of these importantearly phase clinical trials and provides the crucial statisticalbasis for their interpretation. It clearly and concisely providesan overview of the most common types of trials undertaken in earlyphase clinical research and explains the different methodologiesused. The impact of statistical technologies on clinicaldevelopment and the statistical and methodological basis for makingclinical and investment decisions are also explained. * Conveys key ideas in a concise manner understandable bynon-statisticians * Explains how to optimise designs in a constrained or fixedresource setting * Discusses decision making criteria at the end of Phase IItrials * Highlights practical day-to-day issues and reporting of earlyphase trials An Introduction to Statistics in Early Phase Trials is anessential guide for all researchers working in early phase clinicaltrial development, from clinical pharmacologists andpharmacokineticists through to clinical investigators and medicalstatisticians. It is also a valuable reference for teachers andstudents of pharmaceutical medicine learning about the design andanalysis of clinical trials.
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Medical Uses of Statistics

Frederick Mosteller, NEJM/MMS

editore: Wiley-Blackwell (an imprint of John Wiley & Sons Ltd)

pagine: 528

A new edition of the classic guide to the use of statistics in medicine, featuring examples from recent articles in the New England Journal of Medicine Medical Uses of Statistics has served as one of the most influential works on the subject for physicians, physicians-in-training, and a myriad of healthcare experts who need a clear idea of the proper application of statistical techniques in clinical studies as well as the implications of their interpretation for clinical practice. This Third Edition maintains the focus on the critical ideas, rather than the mechanics, to give practitioners and students the resources they need to understand the statistical methods they encounter in modern medical literature. Bringing together contributions from more than two dozen distinguished statisticians and medical doctors, this volume stresses the underlying concepts in areas such as randomized trials, survival analysis, genetics, linear regression, meta-analysis, and risk analysis. The Third Edition includes:* Numerous examples based on studies taken directly from the pages of the New England Journal of Medicine* Two added chapters on statistics in genetics* Two new chapters on the application of statistical methods to studies in epidemiology* New chapters on analyses of randomized trials, linear regression, categorical data analysis, meta-analysis, subgroup analyses, and risk analysis* Updated chapters on statistical thinking, crossover designs, p-values, survival analysis, and reporting research results* A focus on helping readers to critically interpret published results of clinical research Medical Uses of Statistics, Third Edition is a valuable resource for researchers and physicians working in any health-related field. It is also an excellent supplemental book for courses on medicine, biostatistics, and clinical research at the upper-undergraduate and graduate levels.
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Statistical Modeling for Biomedical Researchers

A Simple Introduction to the Analysis of Complex Data

William D. Dupont

editore: Cambridge University Press

pagine: 540

The second edition of this standard text guides biomedical researchers in the selection and use of advanced statistical methods and the presentation of results to clinical colleagues. It assumes no knowledge of mathematics beyond high school level and is accessible to anyone with an introductory background in statistics. The Stata statistical software package is again used to perform the analyses, this time employing the much improved version 10 with its intuitive point and click as well as character-based commands. Topics covered include linear, logistic and Poisson regression, survival analysis, fixed-effects analysis of variance, and repeated-measure analysis of variance. Restricted cubic splines are used to model non-linear relationships. Each method is introduced in its simplest form and then extended to cover more complex situations. An appendix will help the reader select the most appropriate statistical methods for their data. The text makes extensive use of real data sets available at
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Statistics Workbook for Evidence-Based Healthcare

Belinda Barton, Elizabeth Elliott
e altri

editore: Wiley-Blackwell (an imprint of John Wiley & Sons Ltd)

pagine: 190

This concise, easy to understand and learner-friendly book invites the readers to actively particpate in the understanding of medical statistical concepts that are frequently used in health care research and evidence-based practice worldwide. Knowing that the best way to learn statistical concepts is to use them, the authors employ real examples and articles from health science literature, complete with the complexities that real life presents, in an approach that will help bring researchers and clinicians one step closer towards being statistical savvy and better able to critically read research literature and interpret the results.* A practical hands-on workbook for individual or group exercises* Teaches how to understand statistical methods when reading journals, and how to use them in clinical research* Emphasizes the use of statistics in evidence-based research Relevant for anyone needing to use statistics, this workbook is an ideal resource for all health care professionals and students, especially those learning and practising evidence-based medicine.
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