Essentials of a Successful Biostatistical Collaboration, Earnest

Автор: Looney Stephen W.
Название: Biostatistical Methods
ISBN: 089603951X ISBN-13(EAN): 9780896039513
Издательство: Springer
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Цена: 39390.00 T
Наличие на складе: Есть
Описание: Leading biostatisticians and biomedical researchers describe many of the key techniques used to solve commonly occurring data analytic problems in molecular biology, and demonstrate how these methods can be used in the development of new markers for exposure to a risk factor or for disease outcomes. Major areas of application include microarray analysis, proteomic studies, image quantitation, genetic susceptibility and association, evaluation of new biomarkers, and power analysis and sample size.

Автор: Robert P. Hirsch
Название: Workbook to Accompany Introduction to Biostatistical Applications in Health Research with Microsoft® Office Excel®
ISBN: 1119089867 ISBN-13(EAN): 9781119089865
Издательство: Wiley
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Цена: 32680.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Workbook to accompany Introduction to Biostatistical Applications in Health Research with Microsoft Office Excel practical and methodological approach to the statistical logic of biostatistics in the field of health research.

Автор: Commenges
Название: Dynamical Biostatistical Models
ISBN: 1498729673 ISBN-13(EAN): 9781498729673
Издательство: Taylor&Francis
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Цена: 117390.00 T
Наличие на складе: Невозможна поставка.
Описание:

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 models, multistate models, and joint models for repeated measures and time-to-event data. It also explores the possibility of unifying these models through a stochastic process point of view and introduces the dynamic approach to causal inference.

Drawing on much of their own extensive research, the authors use three main examples throughout the text to illustrate epidemiological questions and methodological issues. Readers will see how each method is applied to real data and how to interpret the results.

Автор: Robert P. Hirsch
Название: Introduction to Biostatistical Applications in Health Research with Microsoft® Office Excel®
ISBN: 1119089654 ISBN-13(EAN): 9781119089650
Издательство: Wiley
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Цена: 117160.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: A practical and methodological approach to the statistical logic of biostatistics in the field of health research Focusing on a basic understanding of the methods and analyses in health research, Introduction to Biostatistical Applications in Health Research with Microsoft® Office Excel® provides statistical concepts for interpreting results using Microsoft Office Excel. The book emphasizes the application of methods and presents the most common methodological procedures in health research, which includes multiple regression, ANOVA, ANCOVA, logistic regression, Cox regression, stratified analysis, life table analysis, and nonparametric parallels. The book is constructed around a flowchart that outlines the appropriate circumstances for selecting a method to analyze a specific set of data. Beginning with an introduction to the foundational methods of statistical logic before moving on to more complex methods, Introduction to Biostatistical Applications in Health Research with Microsoft® Office Excel® also includes: Detailed discussions of how knowledge and skills in health research have been integrated with biostatisticalmethods Numerous examples with clear explanations that use mostly real–world health research data provide a better understanding of the practical applications Implements Excelgraphic representations throughout to help readers evaluate and analyze individual results An appendix with basic information on how to use Excel A companion website with additional Excel files, data sets, and homework problems as well as an Instructor s Solutions Manual Introduction to Biostatistical Applications in Health Research with Microsoft® Office Excel® is an excellent textbook for upper–undergraduate and graduate–level students in biostatistics and public health courses. In addition, the book is also an appropriate reference for both health researchers and professionals. Robert P. Hirsch, PhD, is on the faculty for the Foundation for the Advanced Education in the Sciences within the Graduate School at the National Institutes of Health.  He is also a retired Professor of Epidemiology and Biostatistics and Adjunct Professor of Statistics at The George Washington University.  Dr. Hirsch is the author of numerous books in the field of health research and practice.