Practical Statistics for Medical Research

Author: Douglas G. Altman
Publisher: CRC Press
ISBN: 0412276305
Release Date: 1990-11-22
Genre: Mathematics

Most medical researchers, whether clinical or non-clinical, receive some background in statistics as undergraduates. However, it is most often brief, a long time ago, and largely forgotten by the time it is needed. Furthermore, many introductory texts fall short of adequately explaining the underlying concepts of statistics, and often are divorced from the reality of conducting and assessing medical research. Practical Statistics for Medical Research is a problem-based text for medical researchers, medical students, and others in the medical arena who need to use statistics but have no specialized mathematics background. The author draws on twenty years of experience as a consulting medical statistician to provide clear explanations to key statistical concepts, with a firm emphasis on practical aspects of designing and analyzing medical research. The text gives special attention to the presentation and interpretation of results and the many real problems that arise in medical research.

Paleo Die Steinzeitdi t

Author: Keris Marsden
Publisher: Goldmann Verlag
ISBN: 9783641144227
Release Date: 2014-09-30
Genre: Cooking

Paleo – der Megatrend aus den USA! Steinzeitmenschen waren nicht dick. Warum? Sie aßen hauptsächlich Fisch, Fleisch und Gemüse. Das können sie auch: schnell und unkompliziert Abnehmen mit der Paleo-Diät, basierend auf einer naturbelassenen, weizen- und glutenfreien Ernährung. Die Rezepte – von kreativen Frühstücksideen, einfachen Blitzgerichten bis zu verführerischen Desserts – machen richtig Lust, sofort loszulegen!

Stochastic Modeling and Mathematical Statistics

Author: Francisco J. Samaniego
Publisher: CRC Press
ISBN: 9781466560475
Release Date: 2014-01-14
Genre: Mathematics

Provides a Solid Foundation for Statistical Modeling and Inference and Demonstrates Its Breadth of Applicability Stochastic Modeling and Mathematical Statistics: A Text for Statisticians and Quantitative Scientists addresses core issues in post-calculus probability and statistics in a way that is useful for statistics and mathematics majors as well as students in the quantitative sciences. The book’s conversational tone, which provides the mathematical justification behind widely used statistical methods in a reader-friendly manner, and the book’s many examples, tutorials, exercises and problems for solution, together constitute an effective resource that students can read and learn from and instructors can count on as a worthy complement to their lectures. Using classroom-tested approaches that engage students in active learning, the text offers instructors the flexibility to control the mathematical level of their course. It contains the mathematical detail that is expected in a course for "majors" but is written in a way that emphasizes the intuitive content in statistical theory and the way theoretical results are used in practice. More than 1000 exercises and problems at varying levels of difficulty and with a broad range of topical focus give instructors many options in assigning homework and provide students with many problems on which to practice and from which to learn.

Statistical Rethinking

Author: Richard McElreath
Publisher: CRC Press
ISBN: 9781315362618
Release Date: 2018-01-03
Genre: Mathematics

Statistical Rethinking: A Bayesian Course with Examples in R and Stan builds readers’ knowledge of and confidence in statistical modeling. Reflecting the need for even minor programming in today’s model-based statistics, the book pushes readers to perform step-by-step calculations that are usually automated. This unique computational approach ensures that readers understand enough of the details to make reasonable choices and interpretations in their own modeling work. The text presents generalized linear multilevel models from a Bayesian perspective, relying on a simple logical interpretation of Bayesian probability and maximum entropy. It covers from the basics of regression to multilevel models. The author also discusses measurement error, missing data, and Gaussian process models for spatial and network autocorrelation. By using complete R code examples throughout, this book provides a practical foundation for performing statistical inference. Designed for both PhD students and seasoned professionals in the natural and social sciences, it prepares them for more advanced or specialized statistical modeling. Web Resource The book is accompanied by an R package (rethinking) that is available on the author’s website and GitHub. The two core functions (map and map2stan) of this package allow a variety of statistical models to be constructed from standard model formulas.

Introduction to Probability

Author: Joseph K. Blitzstein
Publisher: CRC Press
ISBN: 9781466575578
Release Date: 2014-07-24
Genre: Mathematics

Developed from celebrated Harvard statistics lectures, Introduction to Probability provides essential language and tools for understanding statistics, randomness, and uncertainty. The book explores a wide variety of applications and examples, ranging from coincidences and paradoxes to Google PageRank and Markov chain Monte Carlo (MCMC). Additional application areas explored include genetics, medicine, computer science, and information theory. The print book version includes a code that provides free access to an eBook version. The authors present the material in an accessible style and motivate concepts using real-world examples. Throughout, they use stories to uncover connections between the fundamental distributions in statistics and conditioning to reduce complicated problems to manageable pieces. The book includes many intuitive explanations, diagrams, and practice problems. Each chapter ends with a section showing how to perform relevant simulations and calculations in R, a free statistical software environment.

Medizinische Statistik

Author: Hans J. Trampisch
Publisher: Springer-Verlag
ISBN: 9783642569968
Release Date: 2013-03-11
Genre: Mathematics

"Statistiken sind merkwürdige Dinge ...", dies wird so mancher Mediziner denken, wenn er sich mit der Biometrie befaßt. Sei es im Rahmen seiner Ausbildung oder im Zuge wissenschaftlicher oder klinischer Studien, Kenntnisse der Statistik und Mathematik sind unentbehrlich für die tägliche Arbeit des Mediziners. Ziel dieses Lehrbuches ist es, den Mediziner systematisch an biometrische Terminologie und Arbeitsmethoden heranzuführen, um ihn schließlich mit den Grundlagen der Wahrscheinlichkeitsrechung vertraut zu machen. Nach der Lektüre dieses Buches hält der Leser ein Werkzeug in den Händen, das ihm bei der Lösung medizinscher Fragestellungen hilft ebenso wie bei der Beschreibung von Ergebnissen wissenschaftlicher Studien und natürlich bei der Doktorarbeit!

Einf hrung in die Medizinische Statistik

Author: Ralf-Dieter Hilgers
Publisher: Springer-Verlag
ISBN: 9783662068588
Release Date: 2013-10-05
Genre: Medical

Die speziellen Probleme der Datenanalyse im Bereich der medizinischen Forschung erfordern ein besonderes Verständnis statistisch-biometrischer Methoden. Das vorliegende Buch führt systematisch und umfassend in die gängigen biometrischen Methoden und ihre Terminologie ein. Es entspricht sowohl dem aktuellen wie auch dem zukünftigen Gegenstandskatalog für Biometrie in der Ausbildung für Mediziner. Die Darstellung der theoretischen Konzepte wird durch zahlreiche Abbildungen und medizinische Beispiele veranschaulicht. MC-orientierte Übungsaufgaben mit Lösungen helfen dem Leser das erlernte Wissen zu vertiefen.

Modelling Survival Data in Medical Research Second Edition

Author: David Collett
Publisher: CRC Press
ISBN: 9781584883258
Release Date: 2003-03-28
Genre: Mathematics

Critically acclaimed and resoundingly popular in its first edition, Modelling Survival Data in Medical Research has been thoroughly revised and updated to reflect the many developments and advances--particularly in software--made in the field over the last 10 years. Now, more than ever, it provides an outstanding text for upper-level and graduate courses in survival analysis, biostatistics, and time-to-event analysis.The treatment begins with an introduction to survival analysis and a description of four studies that lead to survival data. Subsequent chapters then use those data sets and others to illustrate the various analytical techniques applicable to such data, including the Cox regression model, the Weibull proportional hazards model, and others. This edition features a more detailed treatment of topics such as parametric models, accelerated failure time models, and analysis of interval-censored data. The author also focuses the software section on the use of SAS, summarising the methods used by the software to generate its output and examining that output in detail. Profusely illustrated with examples and written in the author's trademark, easy-to-follow style, Modelling Survival Data in Medical Research, Second Edition is a thorough, practical guide to survival analysis that reflects current statistical practices.

Paediatric Cardiology

Author: Robert H. Anderson
Publisher: Elsevier Health Sciences
ISBN: 9780702037351
Release Date: 2009-09-25
Genre: Medical

As patients live longer and need to be treated over the long term and the management of pediatric cardiology problems and congenital heart disease moves more into the mainstream, turn to Pediatric Cardiology for current clinical guidance. Trust Dr. Robert Anderson, godfather of cardiac morphology, to bring you coverage of potential cardiovascular anomalies, all potential diseases related to anomalies or developmental problems, and methods for management and treatment. New contributors from all over the world-including 70% new to this edition-present the latest challenges in the field and emphasize the adolescent and post-operative outcomes for management. Now, in full color, this leading reference offers you everything you need to treat and manage pediatric heart conditions. A comprehensive and exhaustive reference of fundamental and clinical aspects of heart disease in infancy and childhood. The contributors are well-known experts in the field and the editors are a world class group who have published extensively in the field. Emphasizes the treatment of corrected congenital heart disease for coverage of the clinical management of cardiac problems in the adolescent and young adult. Integrates development in chapters on lesions to make physiology clinically relevant for the specific cardiac lesions. Provides the latest clinical perspectives on neonate cardiac development management issues so you can offer the best long-term care. Presents the contributions of 70% new authors, from all over the world, in a consistent format to make referencing global perspectives quick and easy. Captures the nuances of the anatomical structure of lesions through full-color illustrations depicting morphologic, congenital, and surgically corrected examples for exceptional visual guidance.

konometrie f r Dummies

Author: Roberto Pedace
Publisher: John Wiley & Sons
ISBN: 9783527801527
Release Date: 2015-10-09
Genre: Business & Economics

?konometrie; nicht nur der Begriff ist etwas sperrig, auch die Inhalte erschlie?en sich nicht jedem sofort. Wichtig und interessant ist sie aber trotzdem. Roberto Pedace erkl?rt Ihnen, worum es in der ?konometrie geht, wie Sie Test-Hypothesen aufstellen und vieles mehr. Er erl?utert, wie Sie mit Regressionsmodellen arbeiten und mit diskreten und abh?ngigen Variablen umgehen. Gegen Ende des Buches geht er ?ber die Basismodelle hinaus und f?hrt Sie in statische und dynamische Modelle sowie die Kunst der Vorhersagen ein.

Markov Chain Monte Carlo

Author: Dani Gamerman
Publisher: CRC Press
ISBN: 1584885874
Release Date: 2006-05-10
Genre: Mathematics

While there have been few theoretical contributions on the Markov Chain Monte Carlo (MCMC) methods in the past decade, current understanding and application of MCMC to the solution of inference problems has increased by leaps and bounds. Incorporating changes in theory and highlighting new applications, Markov Chain Monte Carlo: Stochastic Simulation for Bayesian Inference, Second Edition presents a concise, accessible, and comprehensive introduction to the methods of this valuable simulation technique. The second edition includes access to an internet site that provides the code, written in R and WinBUGS, used in many of the previously existing and new examples and exercises. More importantly, the self-explanatory nature of the codes will enable modification of the inputs to the codes and variation on many directions will be available for further exploration. Major changes from the previous edition: · More examples with discussion of computational details in chapters on Gibbs sampling and Metropolis-Hastings algorithms · Recent developments in MCMC, including reversible jump, slice sampling, bridge sampling, path sampling, multiple-try, and delayed rejection · Discussion of computation using both R and WinBUGS · Additional exercises and selected solutions within the text, with all data sets and software available for download from the Web · Sections on spatial models and model adequacy The self-contained text units make MCMC accessible to scientists in other disciplines as well as statisticians. The book will appeal to everyone working with MCMC techniques, especially research and graduate statisticians and biostatisticians, and scientists handling data and formulating models. The book has been substantially reinforced as a first reading of material on MCMC and, consequently, as a textbook for modern Bayesian computation and Bayesian inference courses.

Statistik II f r Dummies

Author: Deborah J. Rumsey
Publisher: John Wiley & Sons
ISBN: 9783527669240
Release Date: 2013-03-25
Genre: Mathematics

Es gibt Qualen, verdammte Qualen und Statistik, so sehen es viele Studenten. Mit ?Statistik II f?r Dummies? lernen Sie so leicht wie m?glich. Deborah Rumsey zeigt Ihnen, wie Sie Varianzanalysen und Chi-Quadrat-Test machen, wie Sie mit Regressionen arbeiten, ein Modell erstellen, Korrelationen bilden und vieles mehr. So lernen Sie die Methoden, die Sie brauchen, und erhalten das Handwerkszeug, erfolgreich Ihre Statistikpr?fungen zu bestehen.

Statistik

Author: Ludwig Fahrmeir
Publisher: Springer-Verlag
ISBN: 9783662503720
Release Date: 2016-08-18
Genre: Mathematics

Das Buch bietet eine umfassende Einführung in die Statistik. Die Autoren liefern eine integrierte Darstellung der deskriptiven Statistik, der modernen Methoden der explorativen Datenanalyse und der induktiven Statistik, einschließlich der Regressions- und Varianzanalyse. Zahlreiche Beispiele mit realen Daten veranschaulichen den Text. Geeignet als vorlesungsbegleitender Text, aber auch zum Selbststudium für Studierende der Wirtschafts- und Sozialwissenschaften sowie anderer Anwendungsdisziplinen und als Einführung für Studenten der Statistik.

Statistik f r Dummies

Author: Deborah J. Rumsey
Publisher: John Wiley & Sons
ISBN: 9783527692767
Release Date: 2016-12-16
Genre: Education

Statistik ist ganz sicher kein beliebtes, aber ein notwendiges und auch nï¿1⁄2tzliches Thema. Deborah Rumsey erklï¿1⁄2rt Ihnen in diesem Buch die notwendigen Grundbegriffe, erlï¿1⁄2utert die wichtigsten statistischen Konzepte und schafft einen Bezug zwischen Theorie und Praxis. Dabei kommt Sie fast ohne Formeln aus. Sie lernen die verschiedenen grafischen Darstellungsmï¿1⁄2glichkeiten 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.