醫學統計學

《醫學統計學（英文版）/一帶一路背景下國際化臨牀醫學叢書》共15章，主要介紹了醫學統計學的基礎理論與基本方法，內容全面。 ^[2] 

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 ^[2]