醫(yī)學(xué)統(tǒng)計(jì)學(xué)（英文版）

Chapter 1 Introduction to Medical Statistics
1．1 The definition of medical statistics
1．2 Variables and types of data
1．3 Probabilities
1．4 Populations and samples
1．5 Steps of statistical work
Chapter 2 Study Design，Sample Size Estimation and Selection of Statistical Method
2．1 Introduction
2．2 Design of observational studies
2．3 Design of experimental studies
2．4 Sample size
2．5 Selection of statistical methods
Chapter 3 Statistical Tables and Graphs
3．1 Introduction
3．2 Structures and types of tables
3．3 Basic rules and recommendations for tables
3．4 Making tables using SPSS
3．5 Basic rules and recommendations for graphs
3．6 Types of commonly used charts
Chapter 4 Descriptive Statistics of Continuous Variables
4．1 Introduction
4．2 Distribution
4．3 Measures of location
4．4 Measures of variation
4．5 Normal distribution
4．6 Application
Chapter 5 Description of Categorical Variables
5．1 Introduction
5．2 Ratio，frequency and intensity
5．3 Crude death rate and standardization
Chapter 6 Inferential Statistics—Confidence Interval
6．1 Introduction
6．2 t-distribution and binomial distribution
6．3 The central limit theorem
6．4 Confidence interval
Chapter 7 Statistics Inferential—t-tests
7．1 Introduction
7．2 Hypothesis testing
7．3 One-sample t-test
7．4 Paired-sample t-test
7．5 Two-sample t-test
7．6 The F-test for equal variances of two groups of data
7．7 Two types of error and power
7．8 Applications
Chapter 8 Analysis of Variance
8．1 Introduction
8．2 The basic idea of ANOVA
8．3 One-way analysis of variance
8．4 Mutiple comparisons
8．5 Randomized block design ANOVA
8．6 Application
Chapter 9 Chi-square Test
9．1 Introduction
9．2 Two-independent samples Chi-square test
9．3 Paired design Chi-square test
9．4 Chi-square test for RxC table
Chapter 10 Nonparametric Statistics
10．1 Introduction
10．2 Wilcoxon's matched pairs test
10．3 Tests of differences between two groups
10．4 Tests of differences between K groups ( independent samples)
10．5 Tests of differences between K groups ( nominal explanatory and ordinal variable)
Chapter 11 Correlation and Simple Linear Regression
11．1 Introduction
11．2 Correlation analysis
11．3 Application
11．4 Simple linear regression
11．5 Application
Chapter 12 Multiple Linear Regression Analysis
12．1 Introduction
12．2 Multiple linear regression
12．3 Application
Chapter 13 Logistic Regression
13．1 Introduction
13．2 logistic regression
13．3 Logistic regression model
13．4 Applications
Chapter 14 Survival Analysis
14．1 Basic concepts
14．2 Estimation of survival function
14．3 Comparison of survival curves
14．4 Application
Chapter 15 Cox Regression
15．1 Introduction
15．2 Introduction to Cox regeression
15．3 Principles of Cox regression
15．4 Application
Appendix Ⅰ Tables of Probability Distributions
Appendix Ⅱ Comprehensive Self-Test
References