医学统计学

医学统计学
作 者: 郭秀花
出版社: 高等教育出版社
丛编项: 医学教育改革系列教材
版权说明: 本书为公共版权或经版权方授权,请支持正版图书
标 签: 暂缺
ISBN 出版时间 包装 开本 页数 字数
未知 暂无 暂无 未知 0 暂无

作者简介

暂缺《医学统计学》作者简介

内容简介

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.

图书目录

Chapter 1 Introduction to Medical Statistics

1.1 Definition of Medical Statistics

1.2 Variables and Types of Data

1.3 Probabilities

1.4 Populations and Samples

1.5 Errors and Residuals

1.6 Steps of Statistical Work

Chapter 2 Tables and Graphs

2.1 Tables

2.2 Graphs

Chapter 3 Descriptive Statistics of Continuous Variables

3.1 Introduction

3.2 Distribution

3.3 Measures of Location

3.4 Measures of Variation

3.5 Application of Normal Distribution

3.6 Application

Chapter 4 Descriptive Statistics of Categorical Variables

4.1 Introduction

4.2 Ratios, Frequency and Intensity

4.3Crude Death Rate and Standardization

Chapter 5 Inferential Statistics——Confidence Intervals

5.1 Introduction

5.2 t-distribution and Binomial Distribution

5.3Central Limit Theorem

5.4Confidence Intervals

Chapter 6 9Inferential Statistics t-tests

6.1 Introduction

6.2 Hypothesis Testing

6.3 One-sample t test

6.4 Two-sample t-test

6.5 Paired sample t test

6.6 F-test for Equal Variances of Two Groups of Data

6.7 Two Types 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 Variance

7.4 Mutiple Comparisons

7.5 Randomized Block Design ANOVA

7.6 Application

Chapter 8 Chi-square Test

8.1 Introduction

8.2 Two Independent Samples Chi-square Test

8.3 Paired Design Chi-square Test

8.4 Chi-square Test for RXC Tables

Chapter 9 Nonparametric Statistics

9.1 Introduction

9.2 Wilcoxon's Matched Pairs Test

9.3 Tests of Differences Between Two Groups

9.4 Tests of Differences Between k Groups (Independent Samples)

Chapter 10 Correlations and Simple Linear Regressions

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

11.2Concepts in Multiple Linear Regression

11.3 Principles of Multiple Linear Regression

11.4 Application

Chapter 12 Logistic Regression

12.1 Introduction

12.2Concepts of Logistic Regression

12.3 Principles of Logistic Regression

12.4 Applications

Chapter 13 Study Design, Sample Size Estimation, and Selection of Statistical Method

13.1 Introduction

13.2 Design of Observational Studies

13.3 Design of Experimental Studies

13.4 Sample Size

13.5 Selection of Statistical Methods

Appendix I Normal Distribution

Appendix II t Distribution

Appendix III F Distribution(Homogeneity Test of Variances)

Appendix IV F Distribution(Analysis of Variance)

Appendix V q Distribution

Appendix VI X2 Distribution

Appendix VII T Distribution(Paired Design Signed Rank Test)

Appendix VI 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 Digits Table

Appendix XIIIComprehensive Self-test

Appendix XIV An Introduction to SPSS and its Application of Basic Statistical Methods