Epidemiologia e statistica medica

LOMBA E' UN GIOVANE GIORNALISTA COSTRETTO A VIVERE SOTTO IL REGIME MILITARE DI LAGOS IN NIGERIA, UNA DELLE ZONE PIU' PERICOLOSE DEL PIANETA. MA NONOSTANTE TUTTO IL SUO CUORE E LA SUA TESTA SONO PIENI DI MUSICA SOUL, DI BELLE RAGAZZE E DELLA TRAMA DEL ROMANZO CHE STA SCRIVENDO. MA LE COSE PRECIPITANO: IL SUO COMPAGNO DI STANZA E' CATTURATO DALLA POLIZIA, IL SUO GRANDE AMORE DEVE SPOSARE UN UOMO CHE NON AMA. ANCHE QUANDO VIENE ARRESTATO, NESSUNO PUO' TOGLIERGLI LA LIBERTA' PIU' GRANDE, QUELLA DELLA SCRITTURA. E ANCHE SE IN CARCERE E' PROIBITO SCRIVERE, AVRA' LA POSSIBILITA' DI TENERE UN DIARIO. IL ROMANZO DI HELON HABILA, "DELICATO, DIVERTENTE E COMPASSIONEVOLE" PER DORIS LESSING, HA VINTO IL CAINE PRIZE FOR AFRICAN WRITING.

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.

This is a practical introduction to multilevel analysis suitable for all those doing research. Most books on multilevel analysis are written by statisticians, and they focus on the mathematical background. These books are difficult for non-mathematical researchers. In contrast, this volume provides an accessible account on the application of multilevel analysis in research. It addresses the practical issues that confront those undertaking research and wanting to find the correct answers to research questions. This book is written for non-mathematical researchers and it explains when and how to use multilevel analysis. Many worked examples, with computer output, are given to illustrate and explain this subject. Datasets of the examples are available on the internet, so the reader can reanalyse the data. This approach will help to bridge the conceptual and communication gap that exists between those undertaking research and statisticians.

'There are not so many books on statistical methods focused on genetic epidemiology. This contribution fills a gap with a good selection of topics presented in a concise format that will be useful for biostatisticians starting in the field and geneticists or epidemiologists that want to master the specialized statistics used in genetics' - "ISCB NEWS". Covering the latest developments, this advanced textbook introduces the relevant statistical methods applied in this field. This title provides a concise introduction to genetic fundamentals. It explains both linkage analysis and association analysis in detail. It features more than 100 problems and solutions. It includes a foreword by Robert C. Elston, Director, Division of Genetic and Molecular Epidemiology at the Case Western Reserve University, Cleveland, Ohio. Written by the prize-winning scientist Andreas Ziegler, President of the German Region of the International Biometric Society, and Inke Koenig, who contributes several years of teaching experience, this is an ideal text for all epidemiologists, geneticists, statistics specialists, biomathematicians, and graduate students.

A nuts-and-bolts guide to research by asking and answering the most basic questions about doing research studies.

Medicine deals with treatments that work often but not always, so treatment success must be based on probability. Statistical methods lift medical research from the anecdotal to measured levels of probability. This book presents the common statistical methods used in 90 per cent of medical research, along with the underlying basics, in two parts: a textbook section for use by students in health care training programs, e.g., medical schools or residency training, and a reference section for use by practicing clinicians in reading medical literature and performing their own research. The book does not require a significant level of mathematical knowledge and couches the methods in multiple examples drawn from clinical medicine, giving it applicable context. The easy-to-follow format of the book incorporates medical examples, step-by-step methods, and check yourself exercises. The two-part design features course material and a professional reference section. The chapter summaries provide a review of formulas, method algorithms, and check lists. The companion site links to statistical databases that can be downloaded and used to perform the exercises from the book and practice statistical methods. This book includes: new chapters on: multifactor tests on means of continuous data, equivalence testing, and advanced methods; new topics on: trial randomization, treatment ethics in medical research, imputation of missing data, and making evidence-based medical decisions; updated database coverage and additional exercises; expanded coverage of numbers needed to treat and to benefit, and regression analysis including stepwise regression and Cox regression; and, thorough discussion on required sample size.

This book is a joint package of a practical manual on how to undertake meta-analysis in medicine together with an accompanying CD-ROM. This provides individuals with access to meta-analysis software and the instructions and guidance on how to undertake them. The software package contains a computer program 'Metanalysis' which performs statistical analyses for the meta-analysis. It has some unique features currently not available in other meta-analysis software packages: * ability to import graphics into Word, PowerPoint etc * Galbraith's plots * cumulative meta-analysis * number needed to treat * publication bias assessment The graphics generated by the software are in a format compatible with Microsoft PowerPoint. Click here to view sample graphics. Order your copy online today!

Focusing on the statistical methods frequently used in the health care literature and featuring numerous charts, graphs, and examples from the literature, this text provides a foundation for the statistics portion of nursing and health care research courses.