Medical statistics is an applied science which combines theory of statistics with medical science. It is an indispensable theoretical science to conduct scientific research and a mandatory course for all medical majors in universities. Currently， although there are many publications about medical statistics and manuals of statistical software， most of the textbooks of medical statistics emphasize on the theoretical aspects and lack of straight and thorough introduction of statistical software. Also， most of the manuals of statistical software mainly focus on the introduction of the software while lack concepts and theory of statistics. This textbook combines statistical methods with the common manipulation of SPSS software， which makes up the shortcomings mentioned above.
- Chapter 1 Introduction to Medical Statistics
- 1.1 Definition of Medical Statistics
- 1.2 V ariables and Types of Data
- 1.3 Probabilities
- 1.4 Populations and S amples
- 1.5 Errors and Residu als
- 1.6 Steps of Statistical Work
- Chapter 2 Tables and Graphs
- Chapter 3 Descriptive Statistics of Continuous Variables
- 3.1 Introduction
- 3.2 Distribution
- 3.3 Measures of Location
- 3.4 Measures of V ariation
- 3.5 Application of Normal Distribution
- 3.6 Application
- Chapter 4 Descriptive Statistics of Catego rical Variables
- 4.1 Introduction
- 4.2 Ratios ， Frequency and Int ensity
- 4.3 Crude Death Rate and Standardization
- Chapter 5 Inferential Statistics— Confidence Intervals
- 5.1 Introduction
- 5.2 t‐distribution and Binomial Distribution
- 5.3 Central Limit Theorem
- 5.4 Confidence Intervals
- Chapter 6 Inferential Statistics— ‐t tests
- 6.1 Introduction
- 6.2 Hyp othesis T esting
- 6.3 One‐sample t‐test
- 6.4 T wo‐sample t‐t est
- 6.5 Paired‐sample t‐test
- 6.6 F‐test for Equ al V ariances of Two Groups of Data
- 6.7 T wo T ypes of Error and Power
- 6.8 Application
- Chapter 7 Analysis of Variance
- 7.1 Introduction
- 7.2 Basic Idea of ANOVA
- 7.3 One‐way Analysis of V ariance
- 7.4 Mutiple Comparisons
- 7.5 Randomized Block Design ANOVA
- 7.6 Application
- Chapter 8 Ch‐i square Test
- 8.1 Introduction
- 8.2 T wo Independent S amples Chi‐square Test
- 8.3 Paired Design Chi‐square Test
- 8.4 Chi‐square Test for R × C Tables
- Chapter 9 Nonparam etric Statistics
- 9.1 Introduction
- 9.2 Wilcoxon摧s Matched Pairs Test
- 9.3 Tests of Differences Bet ween T wo Groups
- 9.4 Tests of Differences Bet ween k Groups （Independent Samples）
- Chapter 10 Correlations and Simple LinearRegressions
- 10.1 Introduction
- 10.2 Correlation Analysis
- 10.3 Application of Correlation Analysis
- 10.4 Simple Linear Regressions
- 10.5 Application
- Chapter 11 Multiple Linear Regression
- 11.1 Introduction
- 11.2 Concepts in Multiple Linear Regression
- 11.3 Principles of Multiple Linear Regression
- 11.4 Application
- Chapter 12 Logistic Regression
- 12.1 Introduction
- 12.2 Concepts of Logistic Regression
- 12.3 Principles of Logistic Regression
- 12.4 Applications
- Chapter 13 Study Design, Sam ple Size Estim ation,and Selection o f StatisticalM ethod
- 13.1 Introduction
- 13.2 Design of Observational Studies
- 13.3 Design of Experiment al Studies
- 13.4 Sample Size
- 13.5 Selection of Statistical Methods
- Appendix I Normal Distribution
- Appendix II t Distribution
- Appendix III F Distribution（ Homogeneity T est of Variances）
- Appendix IV F Distribution（Analysis of V ariance）
- Appendix V q Distribution
- Appendix VI χ2 Distribution
- Appendix VII T Distribution（Paired Design Signed Rank Test）
- Appendix VIII T Distribution（Wilcoxon Mann‐Whitney Test ， Smaller T Value）
- Appendix IX H Distribution（ Kruskal‐Wallis H Test）
- Appendix Ⅹ r Distribution
- Appendix XI rs Distribution
- Appendix XII Random Di gits T able
- Appendix XIII Comprehensive Self‐test
- Appendix XIV An Introduction t o SPSS and its Application of Basic Statistical Methods
