Medical Statistics_Sun Yat-sen University

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Medical Statistics

Start Date: 2024/04/26 ~ 2024/07/12

Schedule: 3-5小时每周

Ended 163 enrolled

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spContent=Medical Statistics is a discipline based on the basic principles of probability theory and mathematical statistics, and studies data collection, management and analysis in the field of medicine. Medical Statistics has been taught at Sun Yat-sen University for 44 years. It is a required course for all medical students of all levels. The purpose of this course is to develop students' statistical thinking and application skills through study, and to provide them with a broad yet strong foundation of statistical methodologies, which is critical for the study of other courses, reading professional books or journals, engaging in medical practices, and conducting scientific research.

Medical Statistics is a discipline based on the basic principles of probability theory and mathematical statistics, and studies data collection, management and analysis in the field of medicine. Medical Statistics has been taught at Sun Yat-sen University for 44 years. It is a required course for all medical students of all levels. The purpose of this course is to develop students' statistical thinking and application skills through study, and to provide them with a broad yet strong foundation of statistical methodologies, which is critical for the study of other courses, reading professional books or journals, engaging in medical practices, and conducting scientific research.

—— Instructors

About this course

Medical Statistics is a discipline based on the basic principles of probability theory and mathematical statistics, and studies data collection, management and analysis in the field of medicine. Medical Statistics has been taught at Sun Yat-sen University for 44 years. It is a required course for all medical students of all levels.

Medical Statistics at Sun Yat-sen University was awarded as the National Excellent Course in 2008, the National Bilingual Model Course in 2010, the Provincial Online Excellent Course in 2011, the Distinguished English-based Course for International Students in China in 2013, and the Selected Online Public Course at Sun Yat-sen University in 2013. It was the first National MOOC course on Medical Statistics in 2014, and evaluated as the National Excellent Online Public Course in 2017. In addition, our teaching team has published many books of Medical Statistics in both Chinese and English, which have been reprinted several times.

In the context of the internationalization of education, our teaching team is committed to the development of English teaching and teaching materials. Since 1996, we have been teaching English course to eight-year medical students, graduate students, and international students. Our experience has been widely shared with our colleagues across the country.

The purpose of this course is to develop students' statistical thinking and application skills through study, and to provide them with a broad yet strong foundation of statistical methodologies, which is critical for the study of other courses, reading professional books or journals, engaging in medical practices, and conducting scientific research. The course is taught by the faculty members of the Department of Medical Statistics, School of Public Health, Sun Yat-sen University.

The main topics of this course include: Introduction and Basic Concepts of medical statistics, Descriptive Statistics, Probability and Distributions, Sampling Error and Confidence Interval, Hypothesis Testing for Continuous Variable, Analysis of Variance, Nonparametric Test Based on Ranks, Chi-square Test for Categorical Variable, Simple Correlation analysis, Simple Linear Regression, Statistical Principles of Experimental Design, and Statistical Table and Charts.

Syllabus

Introduction

课时目标：Master basic concepts of medical statistics;Master the basic steps of statistical work

1.1 Marriage between Statistics & Medicine ---- Evolution within 200 years

1.2 Statistics ---- The natural affine of Public Health

1.3 Medical Statistics ---- Primary course for Health Professionals

1.4 Basic Concepts

Descriptive Statistics

课时目标：1. Master different types of data.2. Master measurement for average level of a sample3. Master measurement for variation of a sample4. Master relative measures5. Master standardization approaches

2.1 Frequency Table and Histogram

2.2 Measurement for Average Level of a Sample

2.3 Measurement for Variation of a Sample

2.4 Relative Measures and Standardization Approaches

Probability and Distribution

课时目标：3.1 Normal Distribution3.2 Binomial Distribution3.3 Poisson Distribution3.4 Reference Range

3.1 Normal Distribution

3.2 Binomial Distribution

3.3 Poisson Distribution

3.4 Reference Range

Sampling Error and Confidence Interval

课时目标：1. Master and the difference with normal distribution;2. Master the basic concept and calculation of sampling error / the standard error of mean;3. Master the calculation Confidence Interval of Population Mean.

4.1 Distribution of Sample Means

4.2 t Distribution

4.3 Confidence Interval for Population Mean

4.4 Confidence Interval for Probability

Hypothesis Testing for Continuous Variables

课时目标：1. Master the calculation of the confidence interval of population mean; 2. Master paired sample t of design patterns；3. Two types of errors.

5.1 Specific Logics of Hypothesis Testing

5.2 One sample t test and paired sample t test

5.3 Two independent samples t test

Analysis of Variance

课时目标：1. To understand the basic logic of ANOVA. 2. To master the calculation of ANOVA for data of completely randomized design.3. To know the different usages of t-test and ANOVA4. To know how to fulfill paired comparisons between the groups.5. To master the decomposition of variation related with their sources.

6.1 Preparations for ANOVA

6.2 Completely Randomized Design and One-way ANOVA

6.3 Randomized Block Design and Two-way ANOVA

6.4 Multiple Comparisons and Preconditions of ANOVA

Nonparametric Test Based on Ranks

课时目标：1. Master advantages and disadvantages of non-parametric statistics;2. Master the factors which influence the sample size of hypothesis and power;3. Master calculation and application for different methods of rank sum test;4. Know about multiple comparisons.

7.1.Basic logics of Nonparametric Tests based on ranks

7.2.Wilcoxon's signed rank sum test (matched pairs)

7.3.Wilcoxon's rank sum test (two samples)

7.4. Kruskal-Wallis' H test (k independent samples)

7.5.Friedman test (k groups of randomized block design)

Chi-square Test for Categorical Variable

课时目标：1.Master the basic thinking of chi-square test.2. Master the hypothesis testing of proportion (u test, large sample);3.Master the basic thinking of chi-square test;4. Master chi-square test (2 test) for different types of tables;5. Master the caution of application of chi-square test.

8.1 Chi-square Test for Comparison between Two Independent Sample Proportions

8.2 Chi-square Tests for Binary Variables in a Paired Design

8.3 Chi-square Test for R×C Contingency Table

8.4 Chi-square Test for Goodness of Fit of a distribution

Simple Linear Correlation

课时目标：1. Master the meaning, calculation and the hypothesis testing of correlation coefficient;2. Master the meaning of correlation coefficient and the steps of correlation analysis;3. Master the measurement between Categorical Variables.

9.1 Statistical description of linear correlation-Scatter plot

9.2 Statistical description of linear correlation-Pearson's correlation coefficient

9.3 Hypothesis testing for linear correlation

9.4 Preconditions and applications of linear correlation

9.5 Spearman's rank correlation

9.6 Association between Categorical Variables

Simple Linear Regression

课时目标：1.Master the meaning of regression function and the steps of regression analysis;2.Master the relationship and difference between linear regression and correlation;3.Master the application cautions of linear regression and correlation.

10.1 Statistical description of linear regression

10.2 Hypothesis testing for linear regression

10.3 Preconditions and applications of linear regression

Statistical Principles of Experimental Design

课时目标：1.Master the statistical principles of research design;2.Master the designs of experiment and survey;3.Master commonly used experimental designs;4. Master the random sampling methods.

11.1 Observational study vs Experimental study

11.2 Principles of Experimental Study and Error

11.3 Three elements of Experimental Study

11.4 Randomization controlled Trial

11.5 Randomization controlled Trial Study Case

Statistical Tables and Charts

课时目标：1. Master the basic components of statistical tables and charts2. Master the basic requirements of statistical tables and charts

12.1 Statistical Tables and Charts

展开全部

References

1. Fang Ji-Qian. Medical Statistics and Computer Experiments (2nd edition). Singapore: World Scientific Co. 2014

2. Hao Yuan-Tao. Medical Statistics. People's Medical Publishing House(PMPH), 2018.3

3. Fang Ji-Qian. Statistical Methods for Bio-medical Research. Singapore: World Scientific Co. 2020

Instructors

Gu Jing

Professor

Gu Jing

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