This textbook teaches crucial statistical methods to answer research questions using a unique range of statistical software programs, including MINITAB and R. This textbook is developed for undergraduate students in agriculture, nursing, biology and biomedical research. Graduate students will also find it to be a useful way to refresh their statistics skills and to reference software options. The unique combination of examples is approached using MINITAB and R for their individual strengths. Subjects covered include among others data description, probability distributions, experimental design, regression analysis, randomized design and biological assay. Unlike other biostatistics textbooks, this text also includes outliers, influential observations in regression and an introduction to survival analysis. Material is taken from the author's extensive teaching and research in Africa, USA and the UK. Sample problems, references and electronic supplementary material accompany each chapter.
Author(s): Bayo Lawal (auth.)
Edition: 1
Publisher: Springer International Publishing
Year: 2014
Language: English
Pages: 799
Tags: Statistics for Life Sciences, Medicine, Health Sciences; Statistical Theory and Methods; Statistics and Computing/Statistics Programs
Front Matter....Pages i-xxxiii
Introduction....Pages 1-9
Frequency Distributions....Pages 11-31
Numerical Description of Data....Pages 33-57
Probability and Probability Distributions....Pages 59-113
Estimation and Hypotheses Testing....Pages 115-168
Analysis of Variance (ANOVA)....Pages 169-215
Regression Analysis....Pages 217-306
Categorical Data Analysis....Pages 307-336
Experimental Design....Pages 337-354
The Completely Randomized Design....Pages 355-394
The Randomized Complete Block Design....Pages 395-447
Multiple Blocking Designs....Pages 449-501
Analysis of Covariance....Pages 503-529
Factorial Treatments Designs....Pages 531-608
The Split-Plot Design....Pages 609-638
Incomplete Block Design....Pages 639-659
Quantal Bioassay....Pages 661-696
Repeated Measures Design....Pages 697-718
Survival Analysis....Pages 719-748
Combined Analysis of Experimental Data....Pages 749-777
Back Matter....Pages 779-799