NCHU Course Outline

Course Name	(中) 流行病學資料分析(6496)
	(Eng.) Analysis of Epidemiologic Data
Offering Dept	Graduate Institute of Microbiology and Public Health
Course Type	Elective	Credits	2	Teacher	CHANG, CHAO-CHIN
Department	Graduate Institute of Microbiology and Public Health/Graduate	Language	English	Semester	2024-FALL
Course Description	Understanding how to appropriately apply statistical methods in epidemiological data analysis.
Prerequisites				self-directed learning in the course	N

Relevance of Course Objectives and Core Learning Outcomes(%)			Teaching and Assessment Methods for Course Objectives
Course Objectives	Competency Indicators	Ratio(%)	Teaching Methods	Assessment Methods
To guide students:1) recognize the relationship of statistics and epidemiology; 2) understand data patterns and related statistical methods; 3) Understand how to design a scientific research project from epidemiological point of view and how to analyze data logically; 4) Describe the results in scientific ways.	1.Professional knowledge in microbiology and public health. 2.Ability to conduct experiments in microbiology, public health, biochemistry and molecular biology. 3.Ability to read research articles in English or Chinese. 4.Ability of logical thinking and lifelong learning.	20 30 25 25	Exercises Discussion Lecturing	Other Assignment Oral Presentation Attendance Written Presentation
Course Content and Homework/Schedule/Tests Schedule
Week Course Content Week 1 Introduction of the Course Week 2 Descriptive Statistics (I) Week 3 Descriptive Statistics (II) Week 4 Epidemiological Analysis of Continuous Data: t test and paired t test (I) Week 5 Epidemiological Analysis of Continuous Data: t test and paired t test (II) Week 6 Concept of Confounding and Using data analysis to evaluate the effect Week 7 Epidemiological Analysis of Continuous Data: one-way ANOVA (I) Week 8 Epidemiological Analysis of Continuous Data: two-way ANOVA (II) Week 9 Using case-study by self-learning Week 10 Epidemiological Analysis of Categorical Data: Chi-square test and others (I) Week 11 Epidemiological Analysis of Categorical Data: Chi-square test and others (II) Week 12 Concept of Stratification Analysis for Confounding Control and Evaluation of Interaction Week 13 Application of simple and multiple regression models for epidemiological analysis (I) Week 14 Application of simple and multiple regression models for epidemiological analysis (II) Week 15 Application of logistic regression model for epidemiological analysis (I) Week 16 Application of logistic regression model for epidemiological analysis (II) Week 17 Epidemiological analysis by non-parametric analysis Week 18 Take-home Work
Evaluation
Each topic will have at least one homework. The final score will be based on the homework performance.
Textbook & other References
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Teaching Aids & Teacher's Website
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Office Hours
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