Biostatistics, Williams

Автор: Paulson, Daryl S.
Название: Biostatistics and microbiology
ISBN: 0387772812 ISBN-13(EAN): 9780387772813
Издательство: Springer
Рейтинг:
Цена: 95770.00 T
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: 75420.00 T
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: Chap T. Le
Название: Introductory Biostatistics
ISBN: 0471418161 ISBN-13(EAN): 9780471418160
Издательство: Wiley
Рейтинг:
Цена: 128830.00 T
Наличие на складе: Невозможна поставка.
Описание: A course in introductory biostatistics is often required for students in public health, dentistry, nursing, medicine, and biomedical sciences. This text is intended for professional and beginning graduate students in human health disciplines.

Автор: Ronald N. Forthofer
Название: Biostatistics, A Guide to Design, Analysis and Discovery, 2nd Edition
ISBN: 0123694922 ISBN-13(EAN): 9780123694928
Издательство: Elsevier Science
Рейтинг:
Цена: 84210.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
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.