医学统计学教学大纲(英文版).doc

医学统计学教学大纲(英文版)
Medical Statistics Syllabus
I. Course introduction
Name: Medical statistics
Category: Professional basic courses
Teaching hours and credit: 36 hours (theory:24hours , experiment:12hours), 1.5 credits
Course code: bz030004
Teaching unit: Department of health statistics, School of public health
Compliant major: Some undergraduate major , including Clinical Medicine and Rehabilitation Therapeutic Specialty
Medical statistics combines the statistical principle, method and medicine. It is the basic course of medical science. According to training objectives, medical statistics aims to develop statistical thinking ability and to master the basic method to sort out, summarize and analyze the medical statistical data of medical students.The principles of medical statistics are combined with the principles of theory and practice, which are closely related to the basic statistical problems in medicine. The purpose of the course is to enable students to master the basic theoretical knowledge, methods and skills of medical statistics, and lay the necessary statistical basis to apply them to medical practice, carry out scientific research, study other courses and read professional books.
Taking "Medical Statistics"(editor: Ma Bimrong. Version5.0) as the teaching materials, with reference to the national clinical practice physician qualification requirements, prepare a syllabus for undergraduate teaching for clinical medicine, rehabilitation therapy and so on without self-study hours.
This course requires teachers to teach students the ability to acquire knowledge and solve problems independently by mastering the basic theory, basic knowledge and basic skills through theoretical teaching, classroom discussion and practice. Professional courses and future practical work to lay a solid theoretical foundation.
II. Content
Chapter 1 The Basic Concepts in Medical Statistics
Objective and requirement:
① Master the definition of medical statistics
② Master the basic concepts and contents of medical statistics.
③ Understand the basic steps of medical statistics.
Content of courses:
① The definition and research content of medical statistics.
② The significance of learning statistics.
③ Steps of statistical work
④ Some basic concepts in Statistics: population and sample, homogeneity and variation, parameters and statistics, sampling error, probability, and the type of variables.
Chapter 2 Statistical Description of the Average Level
Objective and requirement:
① Master the production and use of frequency distribution frequency table.
② Master the application conditions and calculation of the average.
Content of courses:
① The production of frequency table.
② The description of average level (trend).
Chapter 3 Statistical Description of Discrete Trends
Objective and requirement:
① Master the application condition and calculation method of each discrete trend index.
② Master the concept and characteristics of normal distribution.
③ Master the distribution of the area under normal distribution curve and its application.
Content of courses:
① The description of discrete trend.
② Concepts and characteristics of normal distribution.
③ Distribution rule of area under normal curve.
④ Application of normal distribution.
Chapter 4 Sampling Error and Hypothesis Testing
Objective and requirement:
① Master the concept, calculation,and application of sampling error and standard error.
② Master the method of population mean estimation.
③ Master the meaning and steps of hypothesis testing.
Content of courses:
① Sampling error and standard error.
② t-distribution.
③ Estimation of population mean.
④ General steps of hypothesis testing.
Chapter 5 T-test
Objective and requirement:
① Master the applicable conditions of t-test.
② Master the specific types of t-test for numerical variables.
③ Master the precautions in t-test.
④ Matser the two kinds of errors in hypothesis testing.
Content of courses:
① Single sample t-test.
② Paired samples t-test
③ Two independent samples t-test.
④ Precautions in t-test.
⑤ Two types of errors in hypothesis testing.
Chapter 6 Analysis of Variance
Objective and requirement:
① Understand the variance analysis of complete random design.
② Understand the variance analysis of randomized block design.
Content of courses:
① Variance analysis of complete random design.
② Variance analysis of randomized block designs.
Chapter 7 Relative Number and Its Application
Objective and requirement:
① The concept of relative number.
② Master the problems should be paid attention to when using relative number.
③ Master the principle, method and matters needing attention of the standardization of rate.
④ Master the relative number index in medicine.
⑤ Master sampling error and interval estimation method of rate.
Content of courses:
① Calculation of relative number.
② Problems should be paid attention to when using relative number.
③ Standardization of rate.
④ The relative index in medicine.
⑤ The relative index in medicine.
Chapter 8 Chi-square Test
Objective and requirement:
Master chi-square test and application conditions of fourfold tables, R*C tables, paired fourfold tables.
Content of courses:
① Chi-square test of fourfold tables.
② Chi-square test of R*C tables.
③ Chi-square test of paired fourfold tables.
Chapter 9 Method of Nonparametric Test
Objective and requirement:
① Master the concept of and basic thought of nonparametric test.
② Master method and application condition of different rank design types.
Content of courses:
① The concepts, significance and advantages and disadvantages of nonparametric statistics.
② Symbol rank test for paired data.
③ Rank test for comparison of two samples.
④ Rank test for comparison of mutilple samples.
Chapter 10 Linear Correlation and Regression
Objective and requirement:
① Master the concept, conditions and analysis process of linear correlation analysis.
② Master the concept, conditions and analysis process of linear regression analysis.
Content of courses:
① The concept, conditions and analysis process of linear correlation analysis.
② The concept, conditions and analysis process of linear regression analysis.
③ The difference and connection between linear correlation and regression analysis.
Chapter 12 Statistical Tables and Charts
Objective and requirement:
① Master the structure, requirements and types of statistical tables.
② Master the structure and requirements of charts.
③ Master the applicable conditions of the commonly used statistical charts.
Content of courses:
① The structure and requirements of statistical tables.
② The structure and requirements of statistical graphs
③ Introduction of commonly used statistical graphs.
III. Teaching hours allocation
Teaching hours allocation table
Content of courses
Theoretical hours
Chapter 1 The basic concepts in medical statistics
2
Chapter 2 Statistical description of the average level
2
Chapter 3 Statistical description of discrete trends
2
Chapter 4 Sampling error and hypothesis testing
2
Chapter 5 t-test
3
Chapter 6 Analysis of Variance
1
Chapter 7 Relative number and its application
2
Chapter 8 Chi-square test
4
Chapter 9 Method of Nonparametric Test
2
Chapter 10 Linear Correlation and Regression
2
Chapter 12 Statistical Tables and Charts
2
TOTAL
24
IV. Main reference books and references
Ma Binrong. Medical Statistics”(version5.0), Beijing: People's Health Publishing House,2008.
Fang Jiqian. “Health Statistics”(version6.0), Beijing: People's Health Publishing House,2008.
V. Teaching method
Lecture, discussion and Practice
VI. Examination method
This course adopts the evaluation of whole process of studying. Student course grades from the final exam scores and daily scores, daily scores of students including daily performance, experimental results, quiz, etc.
(Li Hong-ge, Department of health statistics, School of public health)
Medical Statistics Practice Syllabus
I. Teaching hours and Compliant major
Teaching hours: 12 hours
Compliant major: Some undergraduate major , including Clinical Medicine and Rehabilitation Therapeutic Specialty
II. Teaching aims and tasks
Through the practice course of deepening the theoretical understanding and knowledge of the certification, and through the analysis of specific issues, enable students to establish a scientific statistical thinking, grasp the mathematical methods of statistical analysis and a solid foundation for good scientific literacy.
III. Teaching items and contents
No.
Items
Content summary
hours
type
Number of groups
Remarks
1
Statistical analysis of numerical data
Estimation of μ and t-test of central and discrete trend indicator.
4
comprehensive
1

2
Statistical analysis of categorical data
Relative index
Standardization of rate
estimation of π
Chi square test
4
comprehensive

1

3
Linear correlation,Linear regression
Conditions for linear correlation analysis, calculation of r, test of r, Conditions of linear regression analysis,establishment of linear regression equation,application of linear regression
4
comprehensive
1

IV. Reference books
Ma Binrong. “Medical Statistics”(version5.0), Beijing: People's Health Publishing House,2008.
V. Examination method
The experimental evaluation is mainly based on formative evaluation, and the scores of the experiment are mainly composed of classroom questioning and students' experimental reports.
(Li Hong-ge, Department of health statistics, School of public health)