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: 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.
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.
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
ООО "Логосфера " Тел:+7(495) 980-12-10 www.logobook.ru
