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Medical Statistics: A Practical Approach, Lee Tze-san


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Автор: Lee Tze-san
Название:  Medical Statistics: A Practical Approach
ISBN: 9789811217517
Издательство: World Scientific Publishing
Классификация:
ISBN-10: 9811217513
Обложка/Формат: Hardback
Страницы: 428
Вес: 0.73 кг.
Дата издания: 19.01.2021
Серия: Medicine
Язык: English
Размер: 22.86 x 15.24 x 3.18 cm
Читательская аудитория: Tertiary education (us: college)
Ключевые слова: Epidemiology & medical statistics, MEDICAL / Biostatistics,MEDICAL / Reference,MEDICAL / Research
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Поставляется из: Англии
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, Yates linear trend, Stuarts marginal homogeneity, Kendall, and Wilcoxon-Mann-Whitney) are described in Section 11.2. Three tests (Pearson, log-odds-ratio on first-order interaction, Barletts on second-order interaction) and Simpsons 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, Armitages preference, Walds sequential sign, and Armitages 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 Armitages preference method, Armitages restricted sequential test and Walds sequential sign test. Also, inference on contingency tables are treated in more detail than other books.


Computer Age Statistical Inference

Автор: Bradley Efron and Trevor Hastie
Название: Computer Age Statistical Inference
ISBN: 1107149894 ISBN-13(EAN): 9781107149892
Издательство: Cambridge Academ
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Цена: 9029.00 р.
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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.

Practical Statistics for Medical Research

Автор: Altman
Название: Practical Statistics for Medical Research
ISBN: 0412276305 ISBN-13(EAN): 9780412276309
Издательство: Taylor&Francis
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Цена: 17609.00 р.
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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.

Practical implementation of an antibiotic stewardship program

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: 9186.00 р.
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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.

Medical Statistics at a Glance, 3rd Edition

Автор: Petrie
Название: Medical Statistics at a Glance, 3rd Edition
ISBN: 140518051X ISBN-13(EAN): 9781405180511
Издательство: Wiley
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Цена: 4592.00 р.
Наличие на складе: Поставка под заказ.

Описание: Includes chapters that explain the underlying concepts of medical statistics and deals with the commonly used statistical procedures. This title presents key facts accompanied by informative tables and diagrams. It focuses on illustrative examples which show statistics in action, with an emphasis on the interpretation of computer data analysis.

Medical Statistics: A Practical Approach

Автор: Lee Tze-san
Название: Medical Statistics: A Practical Approach
ISBN: 9811218420 ISBN-13(EAN): 9789811218422
Издательство: World Scientific Publishing
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Цена: 8712.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

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.

Biosimilar Clinical Development: Scientific Considerations and New Methodologies

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: 19906.00 р.
Наличие на складе: Поставка под заказ.

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.

A Practical Guide to Cluster Randomised Trials in Health Services Research

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: 10130.00 р.
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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.

Practical healthcare epidemiology

Автор: Ebbing Lautenbach
Название: Practical healthcare epidemiology
ISBN: 1107153166 ISBN-13(EAN): 9781107153165
Издательство: Cambridge Academ
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Цена: 27878.00 р.
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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.

Medical Statistics at a Glance, 4rd Edition

Автор: Aviva Petrie, Caroline Sabin.
Название: Medical Statistics at a Glance, 4rd Edition
ISBN: 1119167817 ISBN-13(EAN): 9781119167815
Издательство: Wiley
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Цена: 5219.00 р.
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Описание: Medical Statistics at a Glance provides a concise and accessible introduction and revision aid for undergraduate medical students and anyone wanting a straightforward introduction to this complex subject. Following the familiar, easy-to-use at a Glance format, each topic is presented as a double-page spread with key facts accompanied by clear, informative tables, formulae and graphs.


This new edition of Medical Statistics at a Glance:



  • Contains a second colour throughout to enhance the visual appeal, making the subject even easier to understand
  • Features worked examples on each topic, with emphasis on computer analysis of data rather than hand calculations
  • Includes new topics on Rates and Poisson regression, Generalised linear models, Explanatory variables in statistical models and Regression models for clustered data.
  • Has an accompanying website http: //www.medstatsaag.com/containing supplementary material including multiple choice questions (MCQs) with annotated answers for self-assessment


Medical Statistics at a Glance will appeal to all medical students, junior doctors and researchers in biomedical and pharmaceutical disciplines.

Reviews of the last edition


"All medical professionals will come across statistics in their daily work and so a proper understanding of these concepts is invaluable. This is brought to you in this easily comprehensible succinct textbook.


.I unreservedly recommend this book to all medical students, especially those that dislike reading reams of text. This is one book that will not sit on your shelf collecting dust once you have graduated and will also function as a reference book."

4th Year Medical Student. Barts and the London Chronicle, Spring 2003,
vol.5, issue 1


Modern Medical Statistics - A Practical Guide

Автор: Everitt
Название: Modern Medical Statistics - A Practical Guide
ISBN: 0470711167 ISBN-13(EAN): 9780470711163
Издательство: Wiley
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Цена: 10922.00 р.
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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.

Applied Mixed Model Analysis: A Practical Guide

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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Цена: 8237.00 р.
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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.


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