医学统计学教学大纲(英文版)(6页).doc

-医学统计学教学大纲(英文版)-第 6 页Medical Statistics SyllabusI. Course introductionName: Medical statisticsCategory: Professional basic coursesTeaching hours and credit: 36 hours (theory:24hours , experiment:12hours), 1.5 creditsCourse code: bz030004Teaching unit: Department of health statistics, School of public health Compliant major: Some undergraduate major , including Clinical Medicine and Rehabilitation Therapeutic SpecialtyMedical 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. ContentChapter 1 The Basic Concepts in Medical StatisticsObjective and requirement: Master the definition of medical statistics Master the basic concepts and contents of medical statistics. Understand the basic steps of medical statistics.Content of courses: The definition and research content of medical statistics. The significance of learning statistics. Steps of statistical work 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 LevelObjective and requirement: Master the production and use of frequency distribution frequency table. Master the application conditions and calculation of the average.Content of courses: The production of frequency table. The description of average level (trend).Chapter 3 Statistical Description of Discrete TrendsObjective and requirement: Master the application condition and calculation method of each discrete trend index. Master the concept and characteristics of normal distribution. Master the distribution of the area under normal distribution curve and its application.Content of courses: The description of discrete trend. Concepts and characteristics of normal distribution. Distribution rule of area under normal curve. Application of normal distribution.Chapter 4 Sampling Error and Hypothesis TestingObjective and requirement: Master the concept, calculation,and application of sampling error and standard error. Master the method of population mean estimation. Master the meaning and steps of hypothesis testing.Content of courses: Sampling error and standard error. t-distribution. Estimation of population mean. General steps of hypothesis testing.Chapter 5 T-testObjective and requirement: Master the applicable conditions of t-test. Master the specific types of t-test for numerical variables. Master the precautions in t-test. Matser the two kinds of errors in hypothesis testing.Content of courses: Single sample t-test. Paired samples t-test Two independent samples t-test. Precautions in t-test. Two types of errors in hypothesis testing.Chapter 6 Analysis of VarianceObjective and requirement: Understand the variance analysis of complete random design. Understand the variance analysis of randomized block design.Content of courses: Variance analysis of complete random design. Variance analysis of randomized block designs.Chapter 7 Relative Number and Its ApplicationObjective and requirement: The concept of relative number. Master the problems should be paid attention to when using relative number. Master the principle, method and matters needing attention of the standardization of rate. Master the relative number index in medicine. Master sampling error and interval estimation method of rate.Content of courses: Calculation of relative number. Problems should be paid attention to when using relative number. Standardization of rate. The relative index in medicine. The relative index in medicine.Chapter 8 Chi-square TestObjective and requirement:Master chi-square test and application conditions of fourfold tables, R*C tables, paired fourfold tables.Content of courses: Chi-square test of fourfold tables. Chi-square test of R*C tables. Chi-square test of paired fourfold tables.Chapter 9 Method of Nonparametric TestObjective and requirement: Master the concept of and basic thought of nonparametric test. Master method and application condition of different rank design types.Content of courses: The concepts, significance and advantages and disadvantages of nonparametric statistics. Symbol rank test for paired data. Rank test for comparison of two samples. Rank test for comparison of mutilple samples.Chapter 10 Linear Correlation and RegressionObjective and requirement: Master the concept, conditions and analysis process of linear correlation analysis. Master the concept, conditions and analysis process of linear regression analysis.Content of courses: The concept, conditions and analysis process of linear correlation analysis. The concept, conditions and analysis process of linear regression analysis. The difference and connection between linear correlation and regression analysis. Chapter 12 Statistical Tables and ChartsObjective and requirement: Master the structure, requirements and types of statistical tables. Master the structure and requirements of charts. Master the applicable conditions of the commonly used statistical charts.Content of courses: The structure and requirements of statistical tables. The structure and requirements of statistical graphs Introduction of commonly used statistical graphs.III. Teaching hours allocationTeaching hours allocation tableContent of coursesTheoretical hoursChapter 1 The basic concepts in medical statistics2Chapter 2 Statistical description of the average level2Chapter 3 Statistical description of discrete trends2Chapter 4 Sampling error and hypothesis testing2Chapter 5 t-test3Chapter 6 Analysis of Variance1Chapter 7 Relative number and its application2Chapter 8 Chi-square test4Chapter 9 Method of Nonparametric Test2Chapter 10 Linear Correlation and Regression2Chapter 12 Statistical Tables and Charts2TOTAL24IV. Main reference books and referencesMa 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 methodLecture, discussion and PracticeVI. Examination methodThis 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 SyllabusI. Teaching hours and Compliant majorTeaching hours: 12 hoursCompliant major: Some undergraduate major , including Clinical Medicine and Rehabilitation Therapeutic SpecialtyII. Teaching aims and tasksThrough 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 contentsNo.ItemsContent summaryhourstypeNumber of groupsRemarks1Statistical analysis of numerical dataEstimation of and t-test of central and discrete trend indicator.4comprehensive12Statistical analysis of categorical dataRelative indexStandardization of rateestimation of Chi square test 4comprehensive13Linear correlation,Linear regressionConditions for linear correlation analysis, calculation of r, test of r, Conditions of linear regression analysis,establishment of linear regression equation,application of linear regression4comprehensive1IV. Reference books Ma Binrong. “Medical Statistics”(version5.0), Beijing: People's Health Publishing House,2008.V. Examination methodThe 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)