Author Description

This textbook consists of three parts: basic concepts of statistics, advanced statistical methods, and design and analysis for medical research. Each chapter begins with challenging medical problems and related statistical methods and theories; to make the statistical ideas more easily understood, there is a section of “computer experiments” in each chapter where some basic statistical phenomena and related concepts are revealed. The statistical software SAS is used to carry out related statistical calculations. The aim of this book is to make medical students and researchers grasp easily the most useful tools of statistics for their medical research. It is done through various applications to a great number of medical problems, interesting demonstration of well-designed computer experiments and detailed explanation of statistical thinking. Contents: Basic Concepts of Statistics: Descriptive Statistics Hypothesis Testing for Continuous Variables Simple Linear Regression Analysis of Variance Advanced Statistical Methods: Multiple Regression and Correlation Discriminant Analysis Factor Analysis Survival Analysis Design and Analysis for Medical Research: Analysis of Repeated Continuous-Type Measurements Design and Analysis of Sequential Experiments Statistical Methods for Data from Genetic Epidemiological Study The Systematic Review of Medical Literatures and Meta-Analysis and others Readership: Graduate students, lecturers and researchers in medicine, public health and applied statistics. Key Features: Emphasizes statistical thinking in teaching the most useful designs and analyses for medical research Provides rich examples to show applications of statistical theories and methods Uses the powerful statistical software package SAS throughout the book Keywords: Statistics; Medical Research; Computer Experiment; SAS