handbook of survival analysis chapman hall crc handbooks of modern statistical methods

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Handbook Of Survival Analysis

Author : John P. Klein
ISBN : 9781466555679
Genre : Mathematics
File Size : 90. 69 MB
Format : PDF, ePub
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Handbook of Survival Analysis presents modern techniques and research problems in lifetime data analysis. This area of statistics deals with time-to-event data that is complicated by censoring and the dynamic nature of events occurring in time. With chapters written by leading researchers in the field, the handbook focuses on advances in survival analysis techniques, covering classical and Bayesian approaches. It gives a complete overview of the current status of survival analysis and should inspire further research in the field. Accessible to a wide range of readers, the book provides: An introduction to various areas in survival analysis for graduate students and novices A reference to modern investigations into survival analysis for more established researchers A text or supplement for a second or advanced course in survival analysis A useful guide to statistical methods for analyzing survival data experiments for practicing statisticians

Handbook Of Graphical Models

Author : Marloes Maathuis
ISBN : 9780429874246
Genre : Mathematics
File Size : 20. 19 MB
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A graphical model is a statistical model that is represented by a graph. The factorization properties underlying graphical models facilitate tractable computation with multivariate distributions, making the models a valuable tool with a plethora of applications. Furthermore, directed graphical models allow intuitive causal interpretations and have become a cornerstone for causal inference. While there exist a number of excellent books on graphical models, the field has grown so much that individual authors can hardly cover its entire scope. Moreover, the field is interdisciplinary by nature. Through chapters by leading researchers from different areas, this handbook provides a broad and accessible overview of the state of the art. Key features: * Contributions by leading researchers from a range of disciplines * Structured in five parts, covering foundations, computational aspects, statistical inference, causal inference, and applications * Balanced coverage of concepts, theory, methods, examples, and applications * Chapters can be read mostly independently, while cross-references highlight connections The handbook is targeted at a wide audience, including graduate students, applied researchers, and experts in graphical models.

Handbook Of Statistical Methods And Analyses In Sports

Author : Jim Albert
ISBN : 9781351678964
Genre : Mathematics
File Size : 76. 8 MB
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This handbook will provide both overviews of statistical methods in sports and in-depth treatment of critical problems and challenges confronting statistical research in sports. The material in the handbook will be organized by major sport (baseball, football, hockey, basketball, and soccer) followed by a section on other sports and general statistical design and analysis issues that are common to all sports. This handbook has the potential to become the standard reference for obtaining the necessary background to conduct serious statistical analyses for sports applications and to appreciate scholarly work in this expanding area.

Handbook Of Mixture Analysis

Author : Sylvia Fruhwirth-Schnatter
ISBN : 9780429508868
Genre : Computers
File Size : 74. 92 MB
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Mixture models have been around for over 150 years, and they are found in many branches of statistical modelling, as a versatile and multifaceted tool. They can be applied to a wide range of data: univariate or multivariate, continuous or categorical, cross-sectional, time series, networks, and much more. Mixture analysis is a very active research topic in statistics and machine learning, with new developments in methodology and applications taking place all the time. The Handbook of Mixture Analysis is a very timely publication, presenting a broad overview of the methods and applications of this important field of research. It covers a wide array of topics, including the EM algorithm, Bayesian mixture models, model-based clustering, high-dimensional data, hidden Markov models, and applications in finance, genomics, and astronomy. Features: Provides a comprehensive overview of the methods and applications of mixture modelling and analysis Divided into three parts: Foundations and Methods; Mixture Modelling and Extensions; and Selected Applications Contains many worked examples using real data, together with computational implementation, to illustrate the methods described Includes contributions from the leading researchers in the field The Handbook of Mixture Analysis is targeted at graduate students and young researchers new to the field. It will also be an important reference for anyone working in this field, whether they are developing new methodology, or applying the models to real scientific problems.

Handbook Of Statistical Methods For Case Control Studies

Author : Ørnulf Borgan
ISBN : 9781351650120
Genre : Mathematics
File Size : 51. 14 MB
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Handbook of Statistical Methods for Case-Control Studies is written by leading researchers in the field. It provides an in-depth treatment of up-to-date and currently developing statistical methods for the design and analysis of case-control studies, as well as a review of classical principles and methods. The handbook is designed to serve as a reference text for biostatisticians and quantitatively-oriented epidemiologists who are working on the design and analysis of case-control studies or on related statistical methods research. Though not specifically intended as a textbook, it may also be used as a backup reference text for graduate level courses. Book Sections Classical designs and causal inference, measurement error, power, and small-sample inference Designs that use full-cohort information Time-to-event data Genetic epidemiology About the Editors Ørnulf Borgan is Professor of Statistics, University of Oslo. His book with Andersen, Gill and Keiding on counting processes in survival analysis is a world classic. Norman E. Breslow was, at the time of his death, Professor Emeritus in Biostatistics, University of Washington. For decades, his book with Nick Day has been the authoritative text on case-control methodology. Nilanjan Chatterjee is Bloomberg Distinguished Professor, Johns Hopkins University. He leads a broad research program in statistical methods for modern large scale biomedical studies. Mitchell H. Gail is a Senior Investigator at the National Cancer Institute. His research includes modeling absolute risk of disease, intervention trials, and statistical methods for epidemiology. Alastair Scott was, at the time of his death, Professor Emeritus of Statistics, University of Auckland. He was a major contributor to using survey sampling methods for analyzing case-control data. Chris J. Wild is Professor of Statistics, University of Auckland. His research includes nonlinear regression and methods for fitting models to response-selective data.

Handbook Of Quantile Regression

Author : Roger Koenker
ISBN : 9781351646567
Genre : Mathematics
File Size : 43. 85 MB
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Quantile regression constitutes an ensemble of statistical techniques intended to estimate and draw inferences about conditional quantile functions. Median regression, as introduced in the 18th century by Boscovich and Laplace, is a special case. In contrast to conventional mean regression that minimizes sums of squared residuals, median regression minimizes sums of absolute residuals; quantile regression simply replaces symmetric absolute loss by asymmetric linear loss. Since its introduction in the 1970's by Koenker and Bassett, quantile regression has been gradually extended to a wide variety of data analytic settings including time series, survival analysis, and longitudinal data. By focusing attention on local slices of the conditional distribution of response variables it is capable of providing a more complete, more nuanced view of heterogeneous covariate effects. Applications of quantile regression can now be found throughout the sciences, including astrophysics, chemistry, ecology, economics, finance, genomics, medicine, and meteorology. Software for quantile regression is now widely available in all the major statistical computing environments. The objective of this volume is to provide a comprehensive review of recent developments of quantile regression methodology illustrating its applicability in a wide range of scientific settings. The intended audience of the volume is researchers and graduate students across a diverse set of disciplines.

R F R Dummies

Author : Andrie de Vries
ISBN : 9783527812523
Genre : Computers
File Size : 40. 67 MB
Format : PDF, Kindle
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Wollen Sie auch die umfangreichen Möglichkeiten von R nutzen, um Ihre Daten zu analysieren, sind sich aber nicht sicher, ob Sie mit der Programmiersprache wirklich zurechtkommen? Keine Sorge - dieses Buch zeigt Ihnen, wie es geht - selbst wenn Sie keine Vorkenntnisse in der Programmierung oder Statistik haben. Andrie de Vries und Joris Meys zeigen Ihnen Schritt für Schritt und anhand zahlreicher Beispiele, was Sie alles mit R machen können und vor allem wie Sie es machen können. Von den Grundlagen und den ersten Skripten bis hin zu komplexen statistischen Analysen und der Erstellung aussagekräftiger Grafiken. Auch fortgeschrittenere Nutzer finden in diesem Buch viele Tipps und Tricks, die Ihnen die Datenauswertung erleichtern.

R In A Nutshell

Author : Joseph Adler
ISBN : 9783897216501
Genre : Computers
File Size : 55. 85 MB
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Wozu sollte man R lernen? Da gibt es viele Gründe: Weil man damit natürlich ganz andere Möglichkeiten hat als mit einer Tabellenkalkulation wie Excel, aber auch mehr Spielraum als mit gängiger Statistiksoftware wie SPSS und SAS. Anders als bei diesen Programmen hat man nämlich direkten Zugriff auf dieselbe, vollwertige Programmiersprache, mit der die fertigen Analyse- und Visualisierungsmethoden realisiert sind – so lassen sich nahtlos eigene Algorithmen integrieren und komplexe Arbeitsabläufe realisieren. Und nicht zuletzt, weil R offen gegenüber beliebigen Datenquellen ist, von der einfachen Textdatei über binäre Fremdformate bis hin zu den ganz großen relationalen Datenbanken. Zudem ist R Open Source und erobert momentan von der universitären Welt aus die professionelle Statistik. R kann viel. Und Sie können viel mit R machen – wenn Sie wissen, wie es geht. Willkommen in der R-Welt: Installieren Sie R und stöbern Sie in Ihrem gut bestückten Werkzeugkasten: Sie haben eine Konsole und eine grafische Benutzeroberfläche, unzählige vordefinierte Analyse- und Visualisierungsoperationen – und Pakete, Pakete, Pakete. Für quasi jeden statistischen Anwendungsbereich können Sie sich aus dem reichen Schatz der R-Community bedienen. Sprechen Sie R! Sie müssen Syntax und Grammatik von R nicht lernen – wie im Auslandsurlaub kommen Sie auch hier gut mit ein paar aufgeschnappten Brocken aus. Aber es lohnt sich: Wenn Sie wissen, was es mit R-Objekten auf sich hat, wie Sie eigene Funktionen schreiben und Ihre eigenen Pakete schnüren, sind Sie bei der Analyse Ihrer Daten noch flexibler und effektiver. Datenanalyse und Statistik in der Praxis: Anhand unzähliger Beispiele aus Medizin, Wirtschaft, Sport und Bioinformatik lernen Sie, wie Sie Daten aufbereiten, mithilfe der Grafikfunktionen des lattice-Pakets darstellen, statistische Tests durchführen und Modelle anpassen. Danach werden Ihnen Ihre Daten nichts mehr verheimlichen.

Analyse Von Zeitreihen

Author : Christopher Chatfield
ISBN : 3446135979
Genre :
File Size : 49. 20 MB
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The New Walford

Author : Albert John Walford
ISBN : 1856044955
Genre : Language Arts & Disciplines
File Size : 89. 41 MB
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First published in 1959, Walford''s guide to reference material achieved international recognition as a leading bibliographic tool across all subject areas. But, in the 1990s, the web transformed the information universe; and so we have now transformed Walford. The New Walford (TNW) Volume 1: Science, Technology and Medicine is the first volume of a radically different guide. Published over 3 years, TNW will form the most substantial work of its kind in the English language. This book provides a pathway through the huge quantity of information now accessible via the web. The types of material cited have been greatly widened to reflect the revolution brought about by the use of networked information; but we have made sure that print resources are not ignored where these are still valuable. If you are approaching a subject for the first time, TNW will get you on your way, guiding you to the best starting points for your query. For the information professional, TNW''s new way of categorizing resources reflects the fundamental changes that have taken place in the scientific, business, political and social information landscapes. Who is it for This new reference book will be valuable for professionals worldwide who need to suggest resources to people who are relatively unfamiliar with the nuances of a topic and who need to know where to start. The focus is on resources that are most likely to be found and used within public, government, education or business information services. If you are an LIS professional responsible for developing and revising a reference collection, new to reference work, staffing an enquiry desk, a research worker or student, you''ll welcome publication of this new work - it''s your paper portal to the world of reference resources. Subject coverage mathematics physics & astronomy earth sciences chemistry biological sciences agriculture, forestry, fisheries & food pre-clinical sciences; clinical medicine health natural resources & energy engineering information & communication technology. Subject fields include astrophysics & cosmology biodiversity & conservation genetics, genomics & bioinformatics infectious diseases information system security meteorology & climatology microengineering & nanotechnology palaeontology soil science sports & exercise medicine. Editor-in-Chief Dr Ray Lester held posts in Unilever and a number of university libraries before becoming Director of Information Services at the London Business School and then the Head of Library and Information Services at The Natural History Museum. Subject specialists Catherine Carr, Cranfield University Jim Corlett, Nottingham Trent University Joanne Dunham, University of Leicester Helen Hathaway, University of Reading Dr Jonathan Jeffery, Leiden University Gareth Johnson, University of York Nazma Masud, Royal Society of Chemistry Roger Mills, University of Oxford Lorna Mitchell, Queen Mary, University of London Dr David Newton, The British Library Linda Norbury, University of Birmingham Bob Parry, University of Reading Alison Sutton, University of Reading Elizabeth Tilley, University of Cambridge Dr Barry White, University of Manchester Fenella Whittaker, The Institution of Mechanical Engineers. 010

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