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  • 医学统计学 郭秀花,薛付忠 编 大中专 文轩网
  • 新华书店正版
    • 作者: 郭秀花著
    • 出版社: 郑州大学出版社
    • 出版时间:2021-03-01 00:00:00
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         https://product.suning.com/0070067633/11555288247.html

     

    商品参数
    • 作者: 郭秀花著
    • 出版社:郑州大学出版社
    • 出版时间:2021-03-01 00:00:00
    • 版次:1
    • 开本:其他
    • 装帧:平装
    • ISBN:9787564559908
    • 国别/地区:中国
    • 版权提供:郑州大学出版社

    医学统计学

    作  者:郭秀花,薛付忠 编
    定  价:79
    出 版 社:郑州大学出版社
    出版日期:2020年12月01日
    页  数:224
    装  帧:平装
    ISBN:9787564559908
    主编推荐

    内容简介

    本书共15章,主要介绍了医学统计学的基础理论与基本方法,内容全面。

    作者简介

    精彩内容

    目录
    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

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