Medical Statistics and Computer Experiments

This volume consists of three parts: Part I comprises 11 chapters on the basic concepts of statistics, Part II consists of 10 chapters on multivariate statistics and Part III contains 12 chapters on design and analysis for medical research. The book is written using basic concepts and commonly used methods of design and analysis in medical statistics, incorporating the operation of statistical package SAS and 100 computer experiments for the important statistical phenomena related to each chapter. All necessary data, including reference answers for the exercises, SAS programs for all computer experiments and part of the examples, and data documents for 12 medical researches are available. The Chinese version of this book has been recommended as a textbook of statistics for postgraduate program by the Office of Education Research, Ministry of Education, People's Republic of China.

Contents:

• Basic Concepts:

  • Descriptive Statistics
  • Probability and Distribution
  • Sampling Error and Confidence Interval
  • Hypothesis Testing for Continuous Variables
  • Chi-Square Test for Categorical Variable
  • Further Discussion on Hypothesis Test
  • Single-Factor Analysis of Variance
  • Nonparametric Test Based on Ranks
  • Simple Linear Correlation
  • Simple Linear Regression
  • Statistical Principles for Design of Interventional Study

• Multi-variate Statistics:

  • Multiple Regression and Correlation
  • Measures of Multi-variate Data and Multi-variate Analysis of Variance
  • Discriminant Analysis
  • Logistic Regression
  • Cluster Analysis
  • Principal Component Analysis
  • Factor Analysis
  • Canonical Correlation and Correspondence Analysis
  • Survival Analysis
  • Log-Linear Model for Contingency Table and Poisson Regression

• Design and Analysis for Medical Research:

  • Multi-Factor Analysis of Variance
  • Analysis of Repeated Continuous-Type Measurements
  • Design and Analysis of Cross-Sectional Studies
  • Design and Analysis of Prospective Studies
  • Designs and Analysis of Case-Control Studies
  • Design and Analysis of Diagnostic and Screening Tests
  • Design and Analysis of Sequential Experiments
  • Systematic Review of Medical Research and Meta-Analysis
  • Comparative Effectiveness Research
  • Statistical Methods in Scale Development
  • Statistical Methods for Data from Genetic Epidemiological Study
  • Statistical Methods in Bioinformatics

Readership: Postgraduate students and researchers in medical, public health and applied statistics.
Key Features:

• It gives basic guidance on a much broader range of statistical topics than is usually seen in books aimed at non-statisticians
• It makes the medical students and researchers feel the topic is useful and easy to learn