Epidemiologia e statistica medica

Statistical methodology is of great importance to medical research and clinical practice. The Encyclopaedic Companion to Medical Statistics contains readable accounts of the key topics central to current research and practice. Each entry has been written by an individual chosen for both their expertise in the field and their ability to communicate statistical concepts successfully to medical researchers. Real examples from the biomedical literature and relevant illustrations feature in many entries and extensive cross-referencing signposts the reader to related entries. Key Features: Contains accounts of over 400 statistical topics central to current medical research. 80# of first edition entries updated and revised. Presents the latest techniques used at the cutting edge of medical research. Covers common errors in statistical analyses in medicine. Real examples from the biomedical literature and relevant illustrations feature throughout. Contains contributions from over 70 experts in the field. Medical researchers, researchers and practitioners in medical research and statistics will benefit greatly from this book.

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.

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.

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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LA TERZA EDIZIONE DI QUESTO VOLUME, PUR MANTENENDO INALTERATA LA STRUTTURA ORIGINALE, E' STATA RINNOVATA E AGGIORNATA NEI CONTENUTI CON L'AGGIUNTA DI NUOVE PARTI CHE RIGUARDANO IL FUNZIONAMENTO E L'ORGANIZZAZIONE DELL'ASSISTENZA MEDICA, I PROBLEMI DERIVATI DALL'INSORGENZA DI NUOVE PATOLOGIE INFETTIVE CHE PREFIGURANO LA POSSIBILITA' DI UNA PANDEMIA (SARS, L'INFLUENZA AVIARIA H5N1, BSE), E NUOVE TIPOLOGIE DI "EPIDEMIE" QUALI QUELLA DELL'OBESITA.

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.

"I think this is an excellent book-I recommend it to anyone involved in molecular epidemiology...The 26 chapters are written by topic specialists, in an explanatory, east to read style." -BTS Newsletter, Summer 2009 "This text provides an accessible and useful handbook for the epidemiologist who wants to survey the field, to become better informed, to look at recent developments and get some background on these or simply to appreciate further the relatively rapid changes in informatic and analytical technologies which increasingly will serve and underpin future epidemiological studies. One of the strengths in this book is the extensive array of practical illustrative examples, and it would also in my opinion have useful potential as a teaching text." -American Journal of Human Biology, March 2009 With the sequencing of the human genome and the mapping of millions of single nucleotide polymorphisms, epidemiology has moved into the molecular domain. Scientists can now use molecular markers to track disease-associated genes in populations, enabling them to study complex chronic diseases that might result from the weak interactions of many genes with the environment. Use of these laboratory generated biomarker data and an understanding of disease mechanisms are increasingly important in elucidating disease aetiology. Molecular Epidemiology of Disease crosses the disciplinary boundaries between laboratory scientists, epidemiologists, clinical researchers and biostatisticians and is accessible to all these relevant research communities in focusing on practical issues of application, rather than reviews of current areas of research. * Covers categories of biomarkers of exposure, susceptibility and disease* Includes chapters on novel technologies: genomics, transcriptomics, proteomics and metabonomics, which are increasingly finding application in population studies* Emphasizes new statistical and bioinformatics approaches necessitated by the large data sets generated using these new methodologies* Demonstrates the potential applications of laboratory techniques in tackling epidemiological problems while considering their limitations, including the sources of uncertainty and inaccuracy* Discusses issues such as reliability (compared to traditional epidemiological methods) and the timing of exposure* Explores practical elements of conducting population studies, including biological repositories and ethics Molecular Epidemiology of Disease provides an easy-to-use, clearly presented handbook that allows epidemiologists to understand the specifics of research involving biomarkers, and laboratory scientists to understand the main issues of epidemiological study design and analysis. It also provides a useful tool for courses on molecular epidemiology, using many examples from population studies to illustrate key concepts and principles.

I questionari di valutazione sono gli strumenti più utilizzati al giorno d'oggi nel campo della medicina e delle scienze umane per valutare variabili quali la disabilità, l'altruismo o il dolore. Pur tuttavia, spesso i clinici conoscono male questi strumenti. Che cosa misurano veramente? Come debbono essere interpretati i risultati? Questo libro cerca di rispondere a queste domande. Non si tratta di un semplice manuale di utilizzo dei questionari di valutazione. Il suo obiettivo principale è quello di fornire a tutti, ricercatori e clinici, le basi metodologiche necessarie per sviluppare lo strumento-questionario e per interpretarne i risultati. Questo libro è il risultato di un lavoro d'équipe dell'Unità di Riabilitazione dell'Università Cattolica di Lovanio. Il libro è stato tradotto, commentato e adattato da Luigi Tesio, Professore di Medicina Fisica e Riabilitativa della Università degli Studi di Milano.