Foundations of Applied Statistical Methods

This is a text in methods of applied statistics for researchers who design and conduct experiments, perform statistical inference, and write technical reports. These research activities rely on an adequate knowledge of applied statistics. The reader both builds on basic statistics skills and learns to apply it to applicable scenarios without over-emphasis on the technical aspects. Demonstrations are a very important part of this text. Mathematical expressions are exhibited only if they are defined or intuitively comprehensible. This textmay be used as a self review guidebook for applied researchers or as an introductory statistical methods textbook for students not majoring in statistics. Discussion includes essential probability models, inference of means, proportions, correlations and regressions, methods for censored survival time data analysis, and sample size determination. The authorhas over twenty years of experienceon applying statistical methods tostudy design and data analysisin collaborative medical research setting as well as on teaching.He received hisPhDfrom University of Southern California Department of Preventive Medicine, receiveda post-doctoral training at Harvard Department of Biostatistics,has held faculty appointments at UCLASchool of Medicine and Harvard Medical School, and currently a biostatistics facultymember at Massachusetts General Hospital and Harvard Medical Schoolin Boston, Massachusetts, USA.