Quantitative Methods in Population Health (Wiley Series in Probability and Statistics)
by Mari Palta
Essentials of Biostatistics in Public Health, Fourth Edition provides a fundamental and engaging background for students learning to apply and appropriately interpret biostatistics applications in the field of public health. Many examples are drawn directly from the author's remarkable clinical experiences with the renowned Framingham Heart Study, making this text practical, interesting, and accessible for those with little mathematical background. The examples are real, relevant, and manageable...
In diesem Buch werden 12 verschiedene Lehrbeispiele und Software-Anwendungen fur die Gestaltung von universitaren Unterrichtseinheiten zur Illustration biometrischer Themen oder Experimente vorgestellt. Alle beschriebenen Materialien sind fur den Nutzer online frei verfugbar. Durch seinen praktischen Ansatz dient das Buch der konkreten Unterrichtsplanung und Durchfuhrung. Alle Beitrage wurden fur den Preis des besten universitaren Lehrmaterials im Fach Biometrie 2013 eingereicht, welcher von der...
Group Sequential Methods with Applications to Clinical Trials
by Christopher Jennison and Bruce W. Turnbull
Group sequential methods answer the needs of clinical trial monitoring committees who must assess the data available at an interim analysis. These interim results may provide grounds for terminating the study-effectively reducing costs-or may benefit the general patient population by allowing early dissemination of its findings. Group sequential methods provide a means to balance the ethical and financial advantages of stopping a study early against the risk of an incorrect conclusion. Group Seq...
Adaptive Design Theory and Implementation Using SAS and R (Chapman & Hall/CRC Biostatistics)
by Mark Chang
Adaptive design has become an important tool in modern pharmaceutical research and development. Compared to a classic trial design with static features, an adaptive design allows for the modification of the characteristics of ongoing trials based on cumulative information. Adaptive designs increase the probability of success, reduce costs and the t
Stochastic Orders in Reliability and Risk Management is composed of 19 contributions on the theory of stochastic orders, stochastic comparison of order statistics, stochastic orders in reliability and risk analysis, and applications. These review/exploratory chapters present recent and current research on stochastic orders reported at the International Workshop on Stochastic Orders in Reliability and Risk Management, or SORR2011, which took place in the City Hotel, Xiamen, China, from June 27 to...
This proceedings volume contains nine selected papers that were presented in the International Symposium in Statistics, 2012 held at Memorial University from July 16 to 18. These nine papers cover three different areas for longitudinal data analysis, four dealing with longitudinal data subject to measurement errors, four on incomplete longitudinal data analysis, and the last one for inferences for longitudinal data subject to outliers. Unlike in the independence setup, the inferences in measurem...
This textbook systematically presents fundamental methods of statistical analysis: from probability and statistical distributions, through basic concepts of statistical inference, to a collection of methods of analysis useful for scientific research. It is rich in tables, diagrams, and examples, in addition to theoretical justification of the methods of analysis introduced. Each chapter has a section entitled "Exercises and Problems" to accompany the text. There are altogether about 300 exercise...
This book presents an up-to-date, accessible, and authoritative look into the rapidly emerging study of statistical adaptive design. Employing the R language throughout, it emphasizes the usefulness of adaptive design methods and technology in public health and research settings through practical examples and plentiful exercises. Special focus is on adaptive late-stage clinical trial designs as extensions of the highly successful group sequential methods that have been applied for more than two...
Understanding Clinical Papers
by David Bowers, Allan House, David Owens, and Bridgette Bewick
Understanding Clinical Papers is a popular and well established introduction to reading clinical papers. It unravels the process of evidence-based practice, using real papers to illustrate how to understand and evaluate published research, and it goes on to provide explanations of important research-related topics.
Introduction to Meta-Analysis
by Michael Borenstein, Larry V. Hedges, Julian P. T. Higgins, and Hannah R. Rothstein
This book provides a clear and thorough introduction to meta-analysis, the process of synthesizing data from a series of separate studies. Meta-analysis has become a critically important tool in fields as diverse as medicine, pharmacology, epidemiology, education, psychology, business, and ecology. Introduction to Meta-Analysis: Outlines the role of meta-analysis in the research processShows how to compute effects sizes and treatment effectsExplains the fixed-effect and random-effects models fo...
Dynamical Biostatistical Models (Chapman & Hall/CRC Biostatistics)
by Daniel Commenges and Helene Jacqmin-Gadda
Dynamical Biostatistical Models presents statistical models and methods for the analysis of longitudinal data. The book focuses on models for analyzing repeated measures of quantitative and qualitative variables and events history, including survival and multistate models. Most of the advanced methods, such as multistate and joint models, can be applied using SAS or R software. The book describes advanced regression models that include the time dimension, such as mixed-effect models, survival...
Applied Longitudinal Analysis 2e (Wiley Series in Probability and Statistics, #997)
by Garrett M. Fitzmaurice, Nan M. Laird, and James H. Ware
Praise for the First Edition "...[this book] should be on the shelf of everyone interested in ...longitudinal data analysis." Journal of the American Statistical Association Features newly developed topics and applications of the analysis of longitudinal data Applied Longitudinal Analysis, Second Edition presents modern methods for analyzing data from longitudinal studies and now features the latest state-of-the-art techniques. The book emphasizes practical, rather than theoretical, aspects of m...
Event History Analysis With Stata
by Hans-Peter Blossfeld, Katrin Golsch, and Gotz Rohwer
Event History Analysis With Stata provides an introduction to event history modeling techniques using Stata (version 9), a widely used statistical program that provides tools for data analysis. The book emphasizes the usefulness of event history models for causal analysis in the social sciences and the application of continuous-time models. T
"We highly recommend it-not just for statistically terrified biology students and faculty, but also for those who are occasionally anxious or uncertain. In addition to being a good starting point to learn statistics, it is a useful place to return to refresh your memory." -The Quarterly Review of Biology, March 2009 "During the entire course of my Ph.D. I've been (embarrasingly) looking for a way to teach myself the fundamentals of statistical analysis. At this point in my education, I've come...
Tables for the Use of Range and Studentized Range in Tests of Hypotheses
by H.Leon Harter and N. Balakrishnan
A companion volume to the authors' previous well-received work, the CRC Handbook of Tables for the Use of Order Statistics in Estimation, this handbook discusses testing whether a hypothesis is true or false. Together, these volumes are your complete reference to theory and important tables relating to order statistics and their applications.Once a researcher completes an experiment, the resulting data is assumed to have come from a normal distribution with its mean and variance unknown. The res...
Der Umfang des Beobachtungsmaterials oder die Kompli- ziertheit des statistischen Problems verweisen den empirisch arbeitenden Wissenschaftler, aber auch den Studenten im fortgeschrittenen Semester, haufig auf die Verwendung von elektronischen Datenverarbeitungs- anlagen. Das vorliegende Skriptum, das sich haupt- sachlich an Medizinstudenten des zweiten Studienab- schnittes, an Doktoranden der Medizin und an inter- essierte Mediziner richtet, solI den Anfanger mit dem Gebrauch der leicht erlernb...
Estimands, Estimators and Sensitivity Analysis in Clinical Trials (Chapman & Hall/CRC Biostatistics)
by Craig Mallinckrodt, Geert Molenberghs, Ilya Lipkovich, and Bohdana Ratitch
The concepts of estimands, analyses (estimators), and sensitivity are interrelated. Therefore, great need exists for an integrated approach to these topics. This book acts as a practical guide to developing and implementing statistical analysis plans by explaining fundamental concepts using accessible language, providing technical details, real-world examples, and SAS and R code to implement analyses. The updated ICH guideline raises new analytic and cross-functional challenges for statisticians...
This reference - based on the Conference on Differential Equations, held in Bologna - provides information on current research in parabolic and hyperbolic differential equations. Presenting methods and results in semigroup theory and their applications to evolution equations, this book focuses on topics including: abstract parabolic and hyperbolic linear differential equations; nonlinear abstract parabolic equations; holomorphic semigroups; and Volterra operator integral equations.;With contribu...
Statistical Design and Analysis of Biomarker Studies (Wiley Series in Probability and Statistics)
by Edward L. Korn, Paul S. Albert, and Lisa M. McShane
The only up-to-date text to focus on statistical analysis, Statistical Design and Analysis of Biomarker Studies discusses both the design and analyses required to develop biomarkers, and the types of designs and analyses that are done with these biomarkers once they are developed. This is a useful text for graduate students, biostatisticians, basic biologists, clinicians, and epidemiologists who are working with biomarkers.
Dieses Buch fuhrt in grundlegende Methoden der Mathematik ein, die in den Biowissenschaften angewendet werden. Die Themenbereiche wurden in der dritten Auflage erheblich erweitert. Sie umfassen u.a. Verfahren zur Auswertung von Beobachtungsdaten, die fur das Fachgebiet wichtigen Funktionen, die Anpassung von Funktionen an Daten, Modellbildung mit Differentialgleichungen, Vektoren und Matrizen sowie Schatz- und Testverfahren. Die Darstellung der Inhalte baut auf der Schulmathematik auf. Das Buch...
Medical Informatics (Lecture Notes in Medical Informatics, #14)
by F. Wingert
With the exception of some additions in Section 3.1 and minor changes, the English edition of the "Medizinische Informatik" is a translation of the German edition. Because there is frequently no one-to-one correspondence between the Ger- man and the English terminology, misinterpretations are possible. I have tried to avoid this situation as far as possible. The main problem re- mains within the academic setting. In recent years, the term 1~for.atics has become popular in Europe, but is widely u...
Biologists are notoriously reticent about using mathematics. This textbook is both an introduction to quantitative biology and a guide for the number-shy. Richard Burton fosters a sense of the fundamental importance and usefulness of mathematical principles in biology, with a fascinating range of examples. The book is geared towards the non-mathematician, and covers the basics as well as various more advanced topics from many diverse biological disciplines. Questions and calculations encourage a...
Multiplicity in Clinical Trails (Chapman & Hall/CRC Biostatistics)
by Frank Bretz, Willi Maurer, and Michael Branson