Epidemiologia e statistica medica

L'ottava edizione del testo di Metodologia Epidemiologica viene proposta quando ancora non si è esaurita la pandemia da COVID-

Oggi l'epidemiologia è tornata protagonista nel confronto con gli altri saperi biomedici, offrendo il proprio contributo essen

Questa guida è stata scritta con l'obiettivo di favorire, in modo semplice e intuitivo e partendo dalla research question, la

Il medico dovrebbe sempre prescrivere le migliori terapie disponibili, ma aggiornarsi può essere complicato

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

Now in a fully revised 4th Edition, Modern Epidemiology remains the gold standard text in this complex and evolving field, offering unparalleled, comprehensive coverage of the principles and methods of epidemiologic research. Featuring a new, full-color design, updated models, and a new format allowing space for margin notes, this edition continues to provide authoritative information on the methodologic issues crucial to the wide range of epidemiologic applications in public health and medicine.

The ability to analyze and interpret enormous amounts of data has become a prerequisite for success in allied healthcare and the health sciences. Now in its 11th edition, Biostatistics: A Foundation for Analysis in the Health Sciences continues to offer in-depth guidance toward biostatistical concepts, techniques, and practical applications in the modern healthcare setting. Comprehensive in scope yet detailed in coverage, this text helps students understand—and appropriately use—probability distributions, sampling distributions, estimation, hypothesis testing, variance analysis, regression, correlation analysis, and other statistical tools fundamental to the science and practice of medicine.  Clearly-defined pedagogical tools help students stay up-to-date on new material, and an emphasis on statistical software allows faster, more accurate calculation while putting the focus on the underlying concepts rather than the math. Students develop highly relevant skills in inferential and differential statistical techniques, equipping them with the ability to organize, summarize, and interpret large bodies of data. Suitable for both graduate and advanced undergraduate coursework, this text retains the rigor required for use as a professional reference.

Questo libro, punto di riferimento in ambito internazionale, nasce dall'intento di rendere disponibili ai ricercatori e ai pro

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.

L'analisi e l'interpretazione di enormi quantità di dati sono diventati un prerequisito fondamentale della ricerca medica e de

From the Department of Epidemiology at Johns Hopkins University and continuing in the tradition of award-winning educator and epidemiologist Dr. Leon Gordis, comes the fully revised 6th Edition of Gordis Epidemiology. This bestselling text provides a solid introduction to basic epidemiologic principles as well as practical applications in public health and clinical practice, highlighted by real-world examples throughout. New coverage includes expanded information on genetic epidemiology, epidemiology and public policy, and ethical and professional issues in epidemiology, providing a strong basis for understanding the role and importance of epidemiology in today's data-driven society. Covers the basic principles and concepts of epidemiology in a clear, uniquely memorable way, using a wealth of full-color figures, graphs, charts, and cartoons to help you understand and retain key information. Reflects how epidemiology is practiced today, with a new chapter organization progressing from observation and developing hypotheses to data collection and analyses. Features new end-of-chapter questions for quick self-assessment, and a glossary of genetic terminology. Provides more than 200 additional multiple-choice epidemiology self-assessment questions online. Enhanced eBook version included with purchase. Your enhanced eBook allows you to access all of the text, figures, and references from the book on a variety of devices.

This practical ‘How To’ guide talks the reader step-by-step through designing, conducting and disseminating primary care research, a growing discipline internationally. The vast majority of health care issues are experienced by people in community settings, who are not adequately represented by hospital-based research. There is therefore a great need to upskill family physicians and other primary care workers and academics to conduct community-based research to inform best practice. Aimed at emerging researchers, including those in developing countries, this book also addresses cutting edge and newly developing research methods, which will be of equal interest to more experienced researchers.

In questo volume, il Gruppo di ricerca "Tecnologie emergenti ed Etica: progetto di monitoraggio integrato per la salute della popolazione" ha cercato di delineare potenzialità e problematiche di tali tecnologie, sottolineando come nanotecnologie, tecnologie informatiche, genetica e bio-banche, neuroscienze e scienze cognitive, possano veramente integrarsi fino convergere, soprattutto nell'ambito della salute e dei sistemi sanitari. Si tratta di processi che passano dalle singole persone e dalle comunità, raccogliendo grandi quantità di dati di varia natura e sviluppando articolate interazioni, per poi prospettare ricadute importanti per le singole persone e l'intera collettività, specialmente in ambito sanitario. Tutto ciò chiede di precisare i valori e i principi etici che devono ispirare e sostenere tali processi, per individuare poi modalità e regole per una corretta gestione di tali potenzialità e problematiche.

"Matematica per le scienze della vita" si pone l'obiettivo di mostrare come la matematica e gli strumenti di calcolo associati

"Matematica per le Scienze della Vita" giunge alla sua terza edizione rinnovata e arricchita grazie all'innovativa tecnologia

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.