Medical Statistics: A Practical Approach, Lee Tze-san

Название: Clinical Epidemiology The Essentials 5th Edition bu Fletcher MD MSc, Robert, Fletcher MD MSc, Suzanne W.,2014
ISBN: 1451144474 ISBN-13(EAN): 9781451144475
Издательство: Lippincott Williams & Wilkins
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Цена: 46850.00 T
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Описание: Now in its Fifth Edition, Clinical Epidemiology: The Essentials is a comprehensive, concise, and clinically oriented introduction to the subject of epidemiology. Written by expert educators, this text introduces students to the principles of evidence-based medicine that will help them develop and apply methods of clinical observation in order to form accurate conclusions. The Fifth Edition includes more complete coverage of systematic reviews and knowledge management, as well as other key topics such as abnormality, diagnosis, frequency and risk, prognosis, treatment, prevention, chance, studying cases and cause.

Автор: Bradley Efron and Trevor Hastie
Название: Computer Age Statistical Inference
ISBN: 1107149894 ISBN-13(EAN): 9781107149892
Издательство: Cambridge Academ
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Описание: The twenty-first century has seen a breathtaking expansion of statistical methodology, both in scope and in influence. 'Big data', 'data science', and 'machine learning' have become familiar terms in the news, as statistical methods are brought to bear upon the enormous data sets of modern science and commerce. How did we get here? And where are we going? This book takes us on an exhilarating journey through the revolution in data analysis following the introduction of electronic computation in the 1950s. Beginning with classical inferential theories - Bayesian, frequentist, Fisherian - individual chapters take up a series of influential topics: survival analysis, logistic regression, empirical Bayes, the jackknife and bootstrap, random forests, neural networks, Markov chain Monte Carlo, inference after model selection, and dozens more. The distinctly modern approach integrates methodology and algorithms with statistical inference. The book ends with speculation on the future direction of statistics and data science.

Автор: Lee Tze-san
Название: Medical Statistics: A Practical Approach
ISBN: 9811218420 ISBN-13(EAN): 9789811218422
Издательство: World Scientific Publishing
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Описание: This book is suitable to be used as a textbook for all levels of students in medical school. It is also useful as a reference book for students interested in the application of biostatistics in medicine. Materials from the Introduction to Chapter 6 are similar to those of an elementary statistical textbook.This book is more modern than the current textbook in medical statistics. In this book, biostatistics and epidemiologic concepts are nicely blended. In contrast to the fallacy of the p-value, it introduces the Bayes factor as a measure of the evidence hidden in the sample data. It illustrates the application of the regression to the mean in medicine. Many epidemiologic concepts such as sensitivity and specificity of the diagnostic test, classification and discrimination, types of bias, etc. are discussed in the book.Chapter 7 on 'Correlation and Regression' includes the concept of regression to the mean, generalized linear (Poisson and Logistic) regression models, and discrimination of new data to belong to which sample data sets. Chapter 8 covers the nonparametric inference, including Kolmogorov and Smirnov test. Via the estimation and hypothesis testing, sample sizes are determined in Chapter 9. Chapter 10 discusses the study of design for collecting sample data, including cohort, cross-sectional, case-control, and clinical trial. In addition, types of bias are expounded as a last section in Chapter 10.Chapter 11 covers in detail the inference on contingency tables, including 2 x 2, two-way, and three-way. Five tests (Pearson, log-odds-ratio, Fisher-Irwin, McNemar, and Ejigou-McHugh) are listed in Section 11.1. Six tests (Pearson, First-order interaction, Yate's linear trend, Stuart's marginal homogeneity, Kendall, and Wilcoxon-Mann-Whitney) are described in Section 11.2. Three tests (Pearson, log-odds-ratio on first-order interaction, Barlett's on second-order interaction) and Simpson's paradox are covered in Section 11.3.Chapter 12 covers analysis of survival data. Two methods (life-table and Kaplan-Meier) are introduced for estimating the survivor function in Section 12.2. Four methods (maximum likelihood, Armitage's preference, Wald's sequential sign, and Armitage's restricted sequential) for comparing two survival curves are covered in Section 12.3. Proportional hazard model and the log-rank test are discussed, respectively, in Section 12.4 and 12.5.In addition, advanced techniques in comparing two survival curves are included in the book such as Armitage's preference method, Armitage's restricted sequential test and Wald's sequential sign test. Also, inference on contingency tables are treated in more detail than other books.

Автор: Kerry B. Barker, Sandeep M. Menon, Ralph B. D`Agostino, Siyan Xu, Bo Jin
Название: Biosimilar Clinical Development: Scientific Considerations and New Methodologies
ISBN: 1482231697 ISBN-13(EAN): 9781482231694
Издательство: Taylor&Francis
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Цена: 132710.00 T
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Описание: Biosimilars have the potential to change the way we think about, identify, and manage health problems. They are already impacting both clinical research and patient care, and this impact will only grow as our understanding and technologies improve. Written by a team of experienced specialists in clinical development, this book discusses various potential drug development strategies, the design and analysis of pharmacokinetics (PK) studies, and the design and analysis of efficacy studies.

Автор: Altman
Название: Practical Statistics for Medical Research
ISBN: 0412276305 ISBN-13(EAN): 9780412276309
Издательство: Taylor&Francis
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Описание: Primarily aimed at medical researchers, this book aims to provide an understanding of the basic principles that underlie research design, data analysis and the interpretation of results, and to enable the reader to carry out a wide range of statistical analyses.

Автор: Sandra Eldridge,Sally Kerry
Название: A Practical Guide to Cluster Randomised Trials in Health Services Research
ISBN: 0470510471 ISBN-13(EAN): 9780470510476
Издательство: Wiley
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Цена: 67530.00 T
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Описание: This book addresses the statistical, practical, and ethical issues arising from allocating groups of individuals, or clusters, to different interventions.

Автор: Everitt
Название: Modern Medical Statistics - A Practical Guide
ISBN: 0470711167 ISBN-13(EAN): 9780470711163
Издательство: Wiley
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Описание: Statistical science plays an increasingly important role in medical research. Over the last few decades, many new statistical methods have been developed which have particular relevance for medical researchers and, with the appropriate software now easily available, these techniques can be used almost routinely to great effect.

Автор: Tamar F. Barlam
Название: Practical implementation of an antibiotic stewardship program
ISBN: 1107166179 ISBN-13(EAN): 9781107166172
Издательство: Cambridge Academ
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Цена: 61240.00 T
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Описание: This book is a practical guide for the successful implementation of antibiotic stewardship programs. It is an essential resource for healthcare providers as well as being a useful tool for those pursuing infectious disease training and looking to learn more about the field of antibiotic stewardship.

Автор: Ebbing Lautenbach
Название: Practical healthcare epidemiology
ISBN: 1107153166 ISBN-13(EAN): 9781107153165
Издательство: Cambridge Academ
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Описание: A much-needed new edition at a time when all healthcare professionals, and healthcare epidemiologists in particular, face tough challenges in infection prevention. Leaders in healthcare epidemiology come together to offer practical, hands-on advice to trainees and professionals in addressing all aspects of infection surveillance and prevention.

Автор: Jos W. R. Twisk
Название: Applied Mixed Model Analysis: A Practical Guide
ISBN: 110872776X ISBN-13(EAN): 9781108727761
Издательство: Cambridge Academ
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Описание: This book explains all aspects of mixed model analysis without mathematical jargon, so that non-statisticians can understand the basic principles, analyze their own data, and interpret the results with confidence. Worked examples are analyzed with STATA, and all datasets are available for download, equipping readers to replicate the methods.

Автор: Jos W. R. Twisk
Название: Applied Mixed Model Analysis: A Practical Guide
ISBN: 1108480578 ISBN-13(EAN): 9781108480574
Издательство: Cambridge Academ
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Цена: 111930.00 T
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Описание: This book explains all aspects of mixed model analysis without mathematical jargon, so that non-statisticians can understand the basic principles, analyze their own data, and interpret the results with confidence. Worked examples are analyzed with STATA, and all datasets are available for download, equipping readers to replicate the methods.

Автор: Nina Chanishvili
Название: Literature Review of the Practical Application of Bacteriophage Research
ISBN: 1621008517 ISBN-13(EAN): 9781621008514
Издательство: Nova Science
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Цена: 166840.00 T
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Описание: Bacteriophage is a live micro-organism, a natural enemy of bacteria. Canadian microbiologist Felix dHerelle proposed that bacteriophage might be applied to the control of bacterial diseases, however in the West this idea was not explored with the same enthusiasm as in the former Soviet Union and was eventually discarded with the arrival of antibiotics. Phage therapy is successfully used for the treatment of a wide spectrum of bacterial infections. Such experience has now become extremely important with the rapidly-increasing spread of antibiotic-resistant bacterial infections which are almost impossible to overcome these days. Phage therapy has been considered as an alternative to antibiotic-therapy and it is now attracting global interest. Most of the scientific works in phage therapy were published in Russian and are thus not easily available in the West. This fact inspired the authors to write a book based on the historical publications found in the library of the Eliava Institute.