Biostatistical Analysis: International Edition, Zar, Jerrold H.

Автор: Zar Jerrold
Название: Biostatistical Analysis
ISBN: 1292024046 ISBN-13(EAN): 9781292024042
Издательство: Pearson Education
Цена: 105640 T
Наличие на складе: Нет в наличии.
Описание: Zar's Biostatistical Analysis, Fifth Edition, is the ideal textbook for graduate and undergraduate students seeking practical coverage of statistical analysis methods used by researchers to collect, summarize, analyze and draw conclusions from biological research. The latest edition of this best-selling textbook is both comprehensive and easy to read. It is suitable as an introduction for beginning students and as a comprehensive reference book for biological researchers and for advanced students.

This book is appropriate for a one- or two-semester, junior or graduate-level course in biostatistics, biometry, quantitative biology, or statistics, and assumes a prerequisite of algebra.

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: 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: Earnest
Название: Essentials of a Successful Biostatistical Collaboration
ISBN: 1482226987 ISBN-13(EAN): 9781482226980
Издательство: Taylor&Francis
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Цена: 73490.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The aim of this book is to equip biostatisticians and other quantitative scientists with the necessary skills, knowledge, and habits to collaborate effectively with clinicians in the healthcare field. The book provides valuable insight on where to look for information and material on sample size and statistical techniques commonly used in clinical research, and on how best to communicate with clinicians. It also covers the best practices to adopt in terms of project, time, and data management; relationship with collaborators; etc.

Автор: Lestrel Pete E
Название: Biological Shape Analysis - Proceedings Of The 1St International Symposium
ISBN: 9814355232 ISBN-13(EAN): 9789814355230
Издательство: World Scientific Publishing
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Цена: 121440.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Includes proceedings that describe the current state of research dealing with biological shape analysis. This title illustrates the diversity of disciplines that are actively involved in the characterization and analysis of biological shape.