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
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: Grafen Название: Biostatistics for the Life Sciences ISBN: 0199252319 ISBN-13(EAN): 9780199252312 Издательство: Oxford Academ Рейтинг: Цена: 9027.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Teaching statistics in a different way, this book provides several methods of model formulae and the General Linear Model. It is aimed at undergraduate students in the life sciences, and also for many graduate students.
Автор: Vittinghoff Название: Regression Methods in Biostatistics ISBN: 0387202757 ISBN-13(EAN): 9780387202754 Издательство: Springer Рейтинг: Цена: 11313.00 р. Наличие на складе: Поставка под заказ.
Описание: An introduction to the multipredictor regression methods widely used in biostatistics. This book covers linear models for continuous outcomes; logistic models for binary outcomes; the Cox model for right-censored survival times; repeated-measures models for longitudinal and hierarchical outcomes; and linear models for counts and other outcomes.
Автор: Paulson, Daryl S. Название: Biostatistics and microbiology ISBN: 0387772812 ISBN-13(EAN): 9780387772813 Издательство: Springer Рейтинг: Цена: 14365.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This "nuts and bolts" book provides a condensation of biostatistical methods that applied microbiology researchers need to perform data analyses. The overriding goal of this book is to ground one`s microbiological expertise and experience in one`s research pursuits, using biostatistics not as a black box, but as a tool.
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