基本素養 Basic Literacy

人文素養
Humanistic quality
公民素養
Civic literacy
社會關懷
Social participation
國際視野
Global outlook

核心能力 Competence

照顧病人的基本能力
Basic ability in clinical care
專業素養
在照顧病人的基本能力下培育基礎與臨床醫學研究的專業素養 轉譯醫學領域專業能力之養成
Professionalism
良好的溝通能力
具有溝通、協調、整合及進行跨領域團隊合作之能力 培養國際觀與外語之能力
Excellent communication skills
解決問題的方法
具備創新思考及獨力解決問題之能力。
Technique for Problem-solving
終身學習的態度
強化終身自我學習意願之能力。
Habit of lifelong learning

課程概述 Course Description

使臨床研究人員及學生瞭解科學研究中常用統計方法與基本概念,熟悉使用臨床研究常用統計軟體(SAS & R)應用於實際分析,且能正確使用各種統計模式於資料分析中,並能規劃研究使資料更適合進行分析。參與課程者將能夠更完整的規劃研究和收集資料,並應用於更適當的統計方法。
The data analysis training course is designed to researchers and graduate students with basic concepts of statistics, how to present and process data using common statistical software (i.e., SAS and R) for clinical research; how to plan research such that the data will be suitable for statistical analysis. Participants will be able to plan more completely the collection and processing of research data and to apply more appropriately sophisticated statistical methods.

課程學習目標 Course Objectives

  • 熟悉臨床研究常用之各種統計方法
  • 活用統計軟體並應用於實際資料分析
  • 瞭解統計方法使用時機與常犯錯誤
  • 課程進度 Progress Description

    進度說明 Progress Description
    1(1) Introduction to Multivariate Analysis (2) Data Management using Statistical Software
    2Topics in Hypothesis Testing: Power, Sample size Determination and Multiple Testing
    3Student’s t-test, One-Way/Two-Way ANOVA, rANOVA, MANOVA, and Nonparametric test
    4Chi-square test, Fisher’s exact test, McNemar’s test, and Cochran-Armitage trend test
    5Pearson's Correlation, Spearman's Rank Correlation, Kappa Statistics, and Intra-Class Correlation Coefficient
    6Linear Regression, Logistic Regression and ROC curve analysis
    7Ordinal & Multinomial Logistic regression, Conditional Logistic Regression, Firth Logistic Regression and Probit Regression
    8Propensity Score Analysis in Clinical Research
    9Mixed Effect Model and Generalized Estimating Equation
    10Survival analysis: Log-Rank Test, Cox Proportional Hazards Model, and Stratified Cox Model
    11Survival analysis: Competing risks regression and Recurrent event analysis
    12Cluster Analysis and Discriminant Analysis
    13Questionnaire Design for Clinical Research
    14Factor Analysis and Structural Equation Modeling
    15Canonical correlation and Principal Component Analysis
    16Trajectory analysis and joint modeling
    17Real data discussion/presentation
    18Real data discussion/presentation
     以上每週進度教師可依上課情況做適度調整。The schedule may be subject to change.

    課程是否與永續發展目標相關調查
    Survey of the conntent relevant to SDGs

    本課程與SDGs相關項目如下:
    This course is relevant to these items of SDGs as following:
    • 消除貧窮 (No poverty)
    • 消除飢餓 (Zero hunger)
    • 健康與福祉 (Good health and Well Being)
    • 教育品質 (Quality Education)
    • 性別平等 (Gender Equality)
    • 就業與經濟成長 (Decent work and Economic growth)
    • 減少不平衡 (Reduced Inequalities)
    • 和平與正義制度 (Peace justice and strong institutions)
    • 全球夥伴 (partnerships for goals)

    有關課程其他調查 Other Surveys of Courses

    1.本課程是否規劃業界教師參與教學或演講? 否
    Is there any industry specialist invited in this course? How many times? No
    2.本課程是否規劃含校外實習(並非參訪)? 否
    Are there any internships involved in the course? How many hours? No
    3.本課程是否可歸認為學術倫理課程? 否
    Is this course recognized as an academic ethics course? In the course how many hours are regarding academic ethics topics? No
    4.本課程是否屬進入社區實踐課程? 否
    Is this course recognized as a Community engagement and Service learning course? Which community will be engaged? No