Topics in Biostatistics: Methods in Molecular Biology, cartea 404
Editat de Walter T. Ambrosiusen Limba Engleză Hardback – 6 iul 2007
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Specificații
ISBN-13: 9781588295316
ISBN-10: 1588295311
Pagini: 544
Ilustrații: XII, 528 p.
Dimensiuni: 155 x 235 x 35 mm
Greutate: 0.97 kg
Ediția:2007
Editura: Humana Press Inc.
Colecția Humana
Seria Methods in Molecular Biology
Locul publicării:Totowa, NJ, United States
ISBN-10: 1588295311
Pagini: 544
Ilustrații: XII, 528 p.
Dimensiuni: 155 x 235 x 35 mm
Greutate: 0.97 kg
Ediția:2007
Editura: Humana Press Inc.
Colecția Humana
Seria Methods in Molecular Biology
Locul publicării:Totowa, NJ, United States
Public țintă
Professional/practitionerCuprins
Study Design: The Basics.- Observational Study Design.- Descriptive Statistics.- Basic Principles of Statistical Inference.- Statistical Inference on Categorical Variables.- Development and Evaluation of Classifiers.- Comparison of Means.- Correlation and Simple Linear Regression.- Multiple Linear Regression.- General Linear Models.- Linear Mixed Effects Models.- Design and Analysis of Experiments.- Analysis of Change.- Logistic Regression.- Survival Analysis.- Basic Bayesian Methods.- Overview of Missing Data Techniques.- Statistical Topics in the Laboratory Sciences.- Power and Sample Size.- Microarray Analysis.- Association Methods in Human Genetics.- Genome Mapping Statistics and Bioinformatics.- Working with a Statistician.
Recenzii
From the reviews:
"It is useful to biologists as well as statisticians. The book describes the use of appropriate statistical methods and offers guidelines on selecting an appropriate test. … The main strength of the book is the clear exposition of statistical tests. … As biostatisticians we strongly recommend this book for libraries where research on molecular biology is going on, and students … in biostatistics. … helpful in understanding the essence of the statistical techniques to a wide range of researchers and students in biology and medicine." (Mukesh Srivastava and M. Abbas, Journal of Applied Statistics, Vol. 36 (4), April, 2009)
"It is useful to biologists as well as statisticians. The book describes the use of appropriate statistical methods and offers guidelines on selecting an appropriate test. … The main strength of the book is the clear exposition of statistical tests. … As biostatisticians we strongly recommend this book for libraries where research on molecular biology is going on, and students … in biostatistics. … helpful in understanding the essence of the statistical techniques to a wide range of researchers and students in biology and medicine." (Mukesh Srivastava and M. Abbas, Journal of Applied Statistics, Vol. 36 (4), April, 2009)
Textul de pe ultima copertă
Biostatistics can be a language nearly indecipherable to those not trained to speak it. In Topics in Biostatistics, a broad survey of biostatiscal methods, techniques are illustrated by clear, step-by-step instructions able to be performed with paper, a pencil, and a calculator. With subjects as diverse as descriptive statistics, study design, statistical inference, and linear and logistic regression, this volume invites the reader to better understand the language of statistics to aid in collaborations with biostatisticians or the deciphering of software manuals. Following the format of the highly successful Methods in Molecular Biology™ format, each protocol offers readily reproducible results, and, specifically in this case, provides the reader with a concise introduction to complicated statistical methods.
Comprehensive and enlightening, Topics in Biostatistics is the perfect statistical resource for scientists in all disciplines attempting to comprehend this challenging mathematical field.
Comprehensive and enlightening, Topics in Biostatistics is the perfect statistical resource for scientists in all disciplines attempting to comprehend this challenging mathematical field.
Caracteristici
Provides a framework for choosing appropriate biostatistical methods Introduces advanced methods in statistics, including how to choose and work with statistical packages Includes supplementary material: sn.pub/extras