校際選修

115-1 選課時程

進行中

  • 初選第一階段 6/15/2026
  • 初選第二階段 6/22/2026
  • 校際選修 8/24/2026
  • 初選第三階段 8/31/2026
  • 開學後加退選 9/7/2026
  • 逾期加退選 9/21/2026
選課資源

生物統計模式與資料分析

Biostatistical modelling and data analysis

學期
111-2
學分
2 學分
當期課號
131201
永久課號
MDIH30064
開課單位
國際衛生碩士學位學程
授課教師
林逸芬、陳瓊梅
校區
陽明
類別
必修
上課時間表
週二
7
15:30–16:20
生物統計模式與資料分析
YS405
2 節連堂
8
16:30–17:20

* 根據陽明交大上課時間表所列

教學方式

This course will focus on practice in commonly used statistical methods in health science research. First, we will review basic concepts of statistical inference and methods for comparing means and proportions which are covered in Introductory Biostatistics. Topics in this course include multiple linear regression, logistic regression, survival analysis such as Kaplan-Meier survival curve estimation and Cox proportional hazard models, and GEE models for longitudinal data. Students are expected to be able to understand the statistical analysis in literature and to analyze and interpret real data using statistical software packages after taking this course.

週次計畫
週次主題
第 1 週1. Introduction 2. Review of basic statistics and data analysis for association between two variables
第 2 週Multiple Linear regression models (1)
第 3 週228 Memorial Day
第 4 週Multiple Linear regression models (2)
第 5 週Data analysis and Lab session: Multiple linear regression models
第 6 週1. Quiz for “Linear regression models” 2. Logistic regression models (1)
第 7 週1. Discussion of the HW of the multiple Linear regression models 2. Logistic regression models (2)
第 8 週Tomb sweeping Day
第 9 週Logistic regression models (3)
第 10 週Data analysis and Lab time: Logistic regression models
第 11 週1. Quiz for “Logistic regression models”2. Survival data analysis (1): data structure and censoring mechanisms
第 12 週Survival data analysis (2): Kaplan-Meier survival curves and log-rank test
第 13 週1. Discussion of the HW of logistic regression analysis 2. Survival data analysis (3): Cox proportional hazard models
第 14 週Survival data analysis (4): Cox proportional hazard models
第 15 週Data analysis and Lab time: Survival analysis Competing risks data analysis
第 16 週Discussion of the HW of survival analysis
第 17 週miscellaneous
第 18 週miscellaneous