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Basic Biostatistics presents a multidisciplinary survey of biostatics methods, each illustrated with hands-on examples. Methods range from the elementary, including descriptive statistics, study design, statistical interference, categorical variables, evaluation of diagnostic tests, comparison of means, linear regression, and logistic regression. These introductory methods create a portfolio of biostatistical techniques for both novice and expert researchers. More complicated statistical methods are introduced as well, including those requiring either collaboration with a biostatistician or the use of a statistical package. Specific topics of interest include microarray analysis, missing data techniques, power and sample size, statistical methods in genetics. Expert advice is given on when to seek statistical help, and how to conduct a meeting with the statistical collaborator or consultant. Basic Biostatistics is an essential resource for researchers at every level of their career.
List of contents
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.
Summary
Basic Biostatistics presents a multidisciplinary survey of biostatics methods, each illustrated with hands-on examples. Methods range from the elementary, including descriptive statistics, study design, statistical interference, categorical variables, evaluation of diagnostic tests, comparison of means, linear regression, and logistic regression. These introductory methods create a portfolio of biostatistical techniques for both novice and expert researchers. More complicated statistical methods are introduced as well, including those requiring either collaboration with a biostatistician or the use of a statistical package. Specific topics of interest include microarray analysis, missing data techniques, power and sample size, statistical methods in genetics. Expert advice is given on when to seek statistical help, and how to conduct a meeting with the statistical collaborator or consultant. Basic Biostatistics is an essential resource for researchers at every level of their career.
Additional text
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)
Report
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)
