本书以IBM SPSS 23为准，以统计理论为主线，详细介绍了SPSS中的界面操作、数据管理、统计图表制作、统计描述和其他一些常用统计分析方法的原理与实际操作等。本书引用了大量来自医学和生物学研究的实际数据，这些例子来自于日常科研项目，便于理解，所以可以作为临床医生和其他医药卫生从业人员在进行统计分析方面的参考书。

Chapter 1 Overview and Basic Steps in Data Analysis
1.1 The operating environment of IBM SPSS 23
1.2 Windows and view
1.3 Data file creation,import and export
1.4 Attribute setting of data reading and writing
Chapter 2 Data Management
2.1 Data Edition
2.2 Data Validation
2.3 Identify Duplicate Cases
2.4 Identify Unusual Cases
2.5 Sort Cases
2.6 Sort Variables
2.7 Transpose
2.8 Merge Files
2.9 Data Restructure
2.10 Aggregate Data
2.11 Copy Dataset
2.12 Split Files
2.13 Select Cases
2.14 Weight Cases
Chapter 3 Transform
3.1 Computing Variable
3.2 Counting Values within Cases
3.3 Shifting Values
3.4 Recoding data
3.5 Automatic Recode
3.6 Visual Binning
3.7 Optimal Binning
3.8 Ranking Cases
3.9 Replacing missing values
3.10 Random number generators
Chapter 4 Analysis of Descriptive Statistics
4.1 Frequencies
4.2 Descriptives
4.3 Explore
4.4 Crosstabs
4.5 Ratio
4.6 P-P Plots/Q-Q Plots
Chapter 5 Compare Means
5.1 Means
5.2 One sample t-test
5.3 Independent samples t-test
5.4 Paired samples t-test
5.5 One-way ANOVA
Chapter 6 General Linear Model
6.1 Variance analysis of completely randomized design
6.2 Variance analysis of randomized block design
6.3 Variance analysis of factorial design
6.4 Analysis of covarianee
6.5 Variance analysis of repeated measures
Chapter 7 Correlation &Regression
7.1 Bivariate correlation analysis
7.2 Linear regression
7.3 Nonlinear regression
7.4 Binary logistic regression
7.5 Multinomial logistic regression
7.6 Curve fit
Chapter 8 Classify
8.1 Hierarchical cluster analysis
8.2 Discriminant analysis
8.3 Exploratory factor analysis
Chapter 9 Reliability Analysis
9.1 Description
9.2 The general procedure of reliability analysis
9.3 A real example of reliability analysis
Chapter 10 Nonparametric Tests
10.1 Two independent samples test
10.2 K independent samples test
10.3 Two related samples test
10.4 K related samples test
Chapter 11 Survival Analysis
11.1 Life tables
11.2 Kaplan-Meier estimate
11.3 Cox regression
11.4 Time-dependent Cox model
Chapter 12 Graphs
12.1 Chart builder
12.2 Bar chart
12.3 3D bar chart
12.4 Line chart
12.5 Area chart
12.6 Pie chart
12.7 High-Low chart
12.8 Boxplot
12.9 Error bar
12.10 Population pyramid
12.11 Scatter plot
12.12 Histogram
12.13 Chart editor
Chapter 13 Comprehensive Data Analysis
13.1 Data verification
13.2 Data reduction
13.3 Equilibrium test for baseline characteristics
13.4 Efficiency analysis
13.5 Multivariate analysis
References
Appendix