Introduction to Data Analysis and Graphical Presentation in Biostatistics with R, Thomas W. MacFarland
Автор: Koller Daphne, Friedman Nir Название: Probabilistic Graphical Models: Principles and Techniques ISBN: 0262013193 ISBN-13(EAN): 9780262013192 Издательство: MIT Press Рейтинг: Цена: 21161.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
A general framework for constructing and using probabilistic models of complex systems that would enable a computer to use available information for making decisions.
Most tasks require a person or an automated system to reason -- to reach conclusions based on available information. The framework of probabilistic graphical models, presented in this book, provides a general approach for this task. The approach is model-based, allowing interpretable models to be constructed and then manipulated by reasoning algorithms. These models can also be learned automatically from data, allowing the approach to be used in cases where manually constructing a model is difficult or even impossible. Because uncertainty is an inescapable aspect of most real-world applications, the book focuses on probabilistic models, which make the uncertainty explicit and provide models that are more faithful to reality.
Probabilistic Graphical Models discusses a variety of models, spanning Bayesian networks, undirected Markov networks, discrete and continuous models, and extensions to deal with dynamical systems and relational data. For each class of models, the text describes the three fundamental cornerstones: representation, inference, and learning, presenting both basic concepts and advanced techniques. Finally, the book considers the use of the proposed framework for causal reasoning and decision making under uncertainty. The main text in each chapter provides the detailed technical development of the key ideas. Most chapters also include boxes with additional material: skill boxes, which describe techniques; case study boxes, which discuss empirical cases related to the approach described in the text, including applications in computer vision, robotics, natural language understanding, and computational biology; and concept boxes, which present significant concepts drawn from the material in the chapter. Instructors (and readers) can group chapters in various combinations, from core topics to more technically advanced material, to suit their particular needs.
Описание: The papers in this volume discuss important methodological advances in several important areas, including multivariate failure time data and interval censored data. The book will be an indispensable reference for researchers and practitioners in biostatistics, medical research, and the health sciences.
Описание: A guide on biostatistics which focuses on the proper use and interpretation of statistical methods. It provides rationales for the formulas, allowing students to grasp a better understanding of the link between biology and statistics. It includes chapters on Logistic Regression; Analysis of Survey Data; and Study Designs.
Автор: I.B. MacNeill; G. Umphrey Название: Biostatistics ISBN: 9027723974 ISBN-13(EAN): 9789027723970 Издательство: Springer Рейтинг: Цена: 24450.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: On May 27-31, 1985, a series of symposia was held at The University of Western Ontario, London, Canada, to celebrate the 70th birthday of Pro- fessor V.
Biostatistics and Computer-Based Analysis of Health Data Using the R Software" addresses the concept that many of the actions performed by statistical software comes back to the handling, manipulation, or even transformation of digital data.
It is therefore of primary importance to understand how statistical data is displayed and how it can be exploited by software such as R. In this book, the authors explore basic and variable commands, sample comparisons, analysis of variance, epidemiological studies, and censored data.
With proposed applications and examples of commands following each chapter, this book allows readers to apply advanced statistical concepts to their own data and software. Features useful commands for describing a data table composed made up of quantitative and qualitative variablesIncludes measures of association encountered in epidemiological studies, odds ratio, relative risk, and prevalencePresents an analysis of censored data, the key main tests associated with the construction of a survival curve (log-rank test or Wilcoxon), and the Cox regression model
Автор: Wolfgang H?rdle; Yuichi Mori; Philippe Vieu Название: Statistical Methods for Biostatistics and Related Fields ISBN: 3642069215 ISBN-13(EAN): 9783642069215 Издательство: Springer Рейтинг: Цена: 21661.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book covers a wide range of recent statistical methods that are of interest to scientists in biostatistics as well as in other related fields such as chemometrics, environmetrics and geophysics.
This volume of the Biostatistics and Health Sciences Set focuses on statistics applied to clinical research. The use of SAS for data management and statistical modeling is illustrated using various examples. Many aspects of data processing and statistical analysis of cross-sectional and experimental medical data are covered, including regression models commonly found in medical statistics.
This practical book is primarily intended for health researchers with a basic knowledge of statistical methodology. Assuming basic concepts, the authors focus on the practice of biostatistical methods essential to clinical research, epidemiology and analysis of biomedical data (including comparison of two groups, analysis of categorical data, ANOVA, linear and logistic regression, and survival analysis). The use of examples from clinical trials and epidemiological studies provide the basis for a series of practical exercises, which provide instruction and familiarize the reader with essential SAS commands.
Presents the use of SAS software in the statistical approach for the management of data modeling
Includes elements of the language and descriptive statistics
Supplies measures of association, comparison of means, and proportions for two or more samples
Explores linear and logistic regression
Provides survival data analysis
Автор: Goodman, Melody S.|| Название: Biostatistics For Clinical & Public ISBN: 1138196355 ISBN-13(EAN): 9781138196353 Издательство: Taylor&Francis Рейтинг: Цена: 9798.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book provides a concise overview of statistical analysis methods for the clinical and public health practitioner. It teaches statistical models without all the theory. Use of SAS software is illustrated in full, including how to interpret results. Includes exercises, case studies, take-away points, and data sets.
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