Medical Statistics From Scratch

Author: David Bowers
Publisher: John Wiley & Sons
ISBN: 1118519396
Size: 67.45 MB
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Medical Statistics From Scratch from the Author: David Bowers. Correctly understanding and using medical statistics is a key skill for all medical students and health professionals. In an informal and friendly style, Medical Statistics from Scratch provides a practical foundation for everyone whose first interest is probably not medical statistics. Keeping the level of mathematics to a minimum, it clearly illustrates statistical concepts and practice with numerous real world examples and cases drawn from current medical literature. This fully revised and updated third edition includes new material on: missing data, random allocation and concealment of data intra-class correlation coefficient effect modification and interaction diagnostic testing and the ROC curve standardisation Medical Statistics from Scratch is an ideal learning partner for all medical students and health professionals needing an accessible introduction, or a friendly refresher, to the fundamentals of medical statistics.

Advanced Medical Statistics

Author: Ying Lu
Publisher: World Scientific
ISBN: 9814583324
Size: 66.81 MB
Format: PDF, Docs
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Advanced Medical Statistics from the Author: Ying Lu. The book aims to provide both comprehensive reviews of the classical methods and an introduction to new developments in medical statistics. The topics range from meta analysis, clinical trial design, causal inference, personalized medicine to machine learning and next generation sequence analysis. Since the publication of the first edition, there have been tremendous advances in biostatistics and bioinformatics. The new edition tries to cover as many important emerging areas and reflect as much progress as possible. Many distinguished scholars, who greatly advanced their research areas in statistical methodology as well as practical applications, also have revised several chapters with relevant updates and written new ones from scratch. The new edition has been divided into four sections, including, Statistical Methods in Medicine and Epidemiology, Statistical Methods in Clinical Trials, Statistical Genetics, and General Methods. To reflect the rise of modern statistical genetics as one of the most fertile research areas since the publication of the first edition, the brand new section on Statistical Genetics includes entirely new chapters reflecting the state of the art in the field. Although tightly related, all the book chapters are self-contained and can be read independently. The book chapters intend to provide a convenient launch pad for readers interested in learning a specific topic, applying the related statistical methods in their scientific research and seeking the newest references for in-depth research. Contents:Statistics in Medicine and Epidemiology:History of Statistical Thinking in Medicine (Tar Timothy Chen)Describing Data, Modeling Variation, and Statistical Practice (Hongyan Du and Ming T Tan)Covariate-Specific and Covariate-Adjusted Predictive Values of Prognostic Biomarkers with Survival Outcome (Yunbei Ma, Xiao-Hua Zhou and Kwun Chuen (Gary) Chan)Statistical Methods for Personalized Medicine (Lu Tian and Xiaoguang Zhao)Statistics Used in Quality Control, Quality Assurance, and Quality Improvement in Radiological Studies (Ying Lu and Shoujun Zhao)Applications of Statistical Methods in Medical Imaging (Jesse S Jin)Cost-Effectiveness Analysis and Evidence-Based Medicine (Jianli Li)Quality of Life: Issues Concerning Assessment and Analysis (Jiqian Fang and Yuantao Hao)Meta-Analysis (Xuyu Zhou, Jiqian Fang, Chuanhua Yu, Zongli Xu, Lu Tian, and Ying Lu)Statistical Models and Methods in Infectious Diseases (Hulin Wu and Shoujun Zhao)Special Models for Sampling Survey (Sujuan Gao)The Use of Capture–Recapture Methodology in Epidemiological Surveillance and Ecological Surveys (Anne Chao, T C Hsieh and Hsin-Chou Yang)Statistical Methods in the Effective Evaluation of Mass Screening for Diseases (Qing Liu)Statistics in Clinical Trials:Statistics in Biopharmaceutical Research and Development (Shein-Chung Chow and Annpey Pong)Statistics in Pharmacology and Pre-Clinical Studies (Tze Leung Lai, Mei-Chiung Shin and Guangrui Zhu)Statistics in Toxicology (James J Chen)Dose-Response Modeling and Benchmark Doses in Health Risk Assessment (Yiliang Zhu)Some Fundamental Statistical Issues and Methodologies in Confirmatory Trials (George Y H Chi, Haiyan Xu and Qing Liu)Surrogates for Qualitative Evaluation of Treatment Effects (Zhi Geng)Adaptive Trial Design in Clinical Research (Annpey Pong and Shein-Chung Chow)Statistics in the Research of Traditional Chinese Medicine (Danhui Yi and Yang Li)Statistical Genetics:Sparse Segment Identifications with Applications to DNA Copy Number Variation Analysis (X Jessie Jeng, T Tony Cai and Hongzhe Li)Statistical Methods for Design and Analysis of Linkage Studies (Qizhai Li, Hong Qin, Zhaohai Li, and Gang Zheng)Transcriptome Analysis Using Next-Generation Sequencing (Jingyi Jessica Li, Haiyan Huang, Minping Qian and Xuegong Zhang)Genetic Structure of Human Population (Hua Tang and Kun Tang)Data Integration Methods in Genome Wide Association Studies (Ning Sun and Hongyu Zhao)Causal Inference (Zhi Geng)General Methods:Survival Analysis (D Y Lin)Nonparametric Regression Models for the Analysis of Longitudinal Data (Colin O Wu, Xin Tian, Kai F Yu, and Mi-Xia Wu)Local Modeling: Density Estimation and Nonparametric Regression (Jianqing Fan and Runze Li)Statistical Methods for Dependent Data (Feng Chen)Bayesian Methods (Ming-Hui Chen and Keying Ye)Valid Prior-Free Probabilistic Inference and Its Applications in Medical Statistics (Duncan Ermini Leaf, Hyokun Yun, and Chuanhai Liu)Stochastic Processes and Their Applications in Medical Science (Caixia Li and Jiqian Fang)Interpolation of Missing Values and Adjustment of Moving Holiday Effect in Time Series (Zhang Jin-Xin, Zhang Xi, Xue Yun-Lian, Li Ji-Bin and Huang Bo)Tree-based Methods (Heping Zhang)Introduction to Artificial Neural Networks (Xia Jielai, Jiang Hongwei, and Tang Qiyi) Readership: Biostatisticians, applied statisticians, medical researchers and clinicians, biopharmaceutical researchers, public health epidemiologists, biometricians and applied mathematicians. Key Features: The book covers very broad topics in medical statistics The book covers both most recent developments as well as classical work of the selected areas The book chapter is written by the experts in the field and illustrated with real life examplesKeywords:Medicine;Statistics;Epidemiology;Genomics;Clinical Trials;Bioinformatics;Machine Learning;Statistical Theory;Public HealthReviews: Review of the First Edition: “Overall the book covers a wide variety of applications. Each method is presented in sufficient depth to allow the reader to understand when the method(s) can be used … this book would be a useful resource for any practitioner in medical research.” Statistical Methods in Medical Research

Understanding Clinical Papers

Author: David Bowers
Publisher: John Wiley & Sons
ISBN: 0470091312
Size: 32.74 MB
Format: PDF, ePub, Docs
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Understanding Clinical Papers from the Author: David Bowers. Now in its Second Edition, this book helps to unravel the process of evidence-based practice, which requires clinicians to evaluate and collate information from the journals they read. Understanding Clinical Papers, Second Edition uses actual papers to illustrate how to understand and evaluate published research, but goes beyond this to provide an explanation of a range of important research-related topics. Understanding Clinical Papers, Second Edition: Covers everything necessary to understand a clinical research paper Examples are illustrated and based uniquely on tables, abstracts and exerts from published clinical research papers Amazingly clear, lively, accessible style The new edition has been markedly improved and extended, containing, for example, new material on measurement scales, systematic reviews, writing a paper, statistics software and critical appraisal “What strikes the reader... straight away is clarity... promises to become a recommended text for undergraduate and postgraduate courses." JOURNAL OF TROPICAL PEDIATRICS “The writing style is amazingly clear and does not require formal course work in biostatistics or epidemiology...We strongly recommend it for beginners and for easy entry into a complex domain and to experts who we think will enjoy it and who will find it useful as they teach, advise and help others.” QUALITY IN HEALTH CARE “What makes this book unique is that each point presented is illustrated with excerpts from actual papers, often three or four per chapter... this is a very effective teaching device." JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION “This book should be an essential addition to the personal libraries of all health care workers who need to use articles in journals. In these days of evidence-based medicine, this should apply to all physicians, nurses and other health professionals.” ONCOLOGY Understanding Clinical Papers, Second Edition is an invaluable resource for everyone involved directly or indirectly in health care – an ultimate guide for those who read clinical literature.

Statistik F R Dummies

Author: Deborah J. Rumsey
Publisher: John Wiley & Sons
ISBN: 3527692762
Size: 71.72 MB
Format: PDF, ePub
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Statistik F R Dummies from the Author: Deborah J. Rumsey. Statistik ist ganz sicher kein beliebtes, aber ein notwendiges und auch n?tzliches Thema. Deborah Rumsey erkl?rt Ihnen in diesem Buch die notwendigen Grundbegriffe, erl?utert die wichtigsten statistischen Konzepte und schafft einen Bezug zwischen Theorie und Praxis. Dabei kommt Sie fast ohne Formeln aus. Sie lernen die verschiedenen grafischen Darstellungsm?glichkeiten von statistischem Material kennen und erfahren, wie Sie Ihre Ergebnisse richtig auswerten. Egal ob Mittelwert, Bias, Standardabweichung oder Konfidenzintervall, schon bald kann Ihnen keiner mehr etwas vormachen.

Programmieren Lernen Mit Python

Author: Allen B. Downey
Publisher: O'Reilly Germany
ISBN: 3955618072
Size: 50.67 MB
Format: PDF, Mobi
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Programmieren Lernen Mit Python from the Author: Allen B. Downey. Python ist eine moderne, interpretierte, interaktive und objektorientierte Skriptsprache, vielseitig einsetzbar und sehr beliebt. Mit mathematischen Vorkenntnissen ist Python leicht erlernbar und daher die ideale Sprache für den Einstieg in die Welt des Programmierens. Das Buch führt Sie Schritt für Schritt durch die Sprache, beginnend mit grundlegenden Programmierkonzepten, über Funktionen, Syntax und Semantik, Rekursion und Datenstrukturen bis hin zum objektorientierten Design. Zur aktualisierten Auflage Diese Auflage behandelt Python 3, geht dabei aber auch auf Unterschiede zu Python 2 ein. Außerdem wurde das Buch um die Themen Unicode, List und Dictionary Comprehensions, den Mengen-Typ Set, die String-Format-Methode und print als Funktion ergänzt. Jenseits reiner Theorie Jedes Kapitel enthält passende Übungen und Fallstudien, kurze Verständnistests und kleinere Projekte, an denen Sie die neu erlernten Programmierkonzepte gleich ausprobieren und festigen können. Auf diese Weise können Sie das Gelernte direkt anwenden und die jeweiligen Programmierkonzepte nachvollziehen. Lernen Sie Debugging-Techniken kennen Am Ende jedes Kapitels finden Sie einen Abschnitt zum Thema Debugging, der Techniken zum Aufspüren und Vermeiden von Bugs sowie Warnungen vor entsprechenden Stolpersteinen in Python enthält.

Sterblich Sein

Author: Atul Gawande
Publisher: S. Fischer Verlag
ISBN: 3104035849
Size: 32.30 MB
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Sterblich Sein from the Author: Atul Gawande. Ein Buch über das Sterben, das das Leben lehrt Die Medizin scheint über Krankheit und Tod zu triumphieren, doch sterben wir so trostlos wie nie zuvor. Der Bestsellerautor und renommierte Arzt Atul Gawande schreibt in seinem beeindruckenden Buch über das, was am Ende unseres Lebens wirklich zählt. Ungewöhnlich offen spricht er darüber, was es bedeutet, alt zu werden, wie man mit Gebrechen und Krankheiten umgehen kann und was wir an unserem System ändern müssen, um unser Leben würdevoll zu Ende zu bringen. Ein mutiges und weises Buch eines großartigen Autors, voller Geschichten und eigener Erfahrungen, das uns hilft, die Geschichte unseres Lebens gut zu Ende zu erzählen. »Dieses Buch ist nicht nur weise und sehr bewegend, sondern gerade in unserer Zeit unbedingt notwendig und sehr aufschlussreich.« Oliver Sacks »Die medizinische Betreuung ist mehr auf Heilung ausgelegt als auf das Sterben. Dies ist Atuls Gawandes stärkstes und bewegendstes Buch.« Malcolm Gladwell

Die Unsichtbare Bibliothek

Author: Genevieve Cogman
Publisher: BASTEI LĂśBBE
ISBN: 3732506983
Size: 11.97 MB
Format: PDF, ePub
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Die Unsichtbare Bibliothek from the Author: Genevieve Cogman. ALLES BEGINNT MIT EINEM BUCH ... Die unsichtbare Bibliothek - ein Ort jenseits von Raum und Zeit und ein Tor zu den unterschiedlichsten Welten. Hier werden einzigartige Bücher gesammelt und erforscht, nachdem Bibliothekare im Außendienst sie beschafft haben. Irene Winters ist eine von ihnen. Ihr aktueller Auftrag führt sie in ein viktorianisches London, wo eine seltene Version der Grimm'schen Märchen aufgetaucht ist. Doch was als einfacher Einsatz beginnt, wird nur allzu schnell ein tödliches Abenteuer, denn Irene ist nicht die Einzige, die hinter dem Buch her ist. Und die anderen Interessenten gehen über Leichen, um zu bekommen, was sie wollen ...