臨床研究數據分析實戰：從生物統計到AI協作

本課程以臨床研究常見資料為主軸，帶領學生走完「從資料統計分析到寫作發表」的完整流程；從研究問題與研究設計出發，完成資料整理與清檔、選擇正確的生物統計方法到結果呈現與報告撰寫。 課程同時導入AI協作的正確用法：如何用AI工具協助執行生物統計，並讓結果可以驗證及重現。並以AI工具進行資料檢核、內容摘要、文法修正及文章潤飾。 This course uses clinical research datasets to guide students through a complete workflow: from statistical analysis to scientific writing and publication. Beginning with the formulation of research questions and study design, students will learn how to organize and clean datasets, select appropriate biostatistical methods, and present results clearly through structured reports and manuscripts. The course also introduces best practices for AI-assisted collaboration, including the use of AI tools to support biostatistical analysis while ensuring that results remain verifiable and reproducible. In addition, students will learn to apply AI tools for data quality checks, content summarization, grammar correction, and manuscript polishing.

此為理論×實作課程，修課學生需有notebook。

本課程包含實作操作內容，上課請務必攜帶筆記型電腦，並需於課堂中實際完成統計分析操作。 This course includes hands-on sessions. Students are required to bring a laptop to class and are expected to perform and complete statistical analyses through practical in-class exercises.

隨堂測驗、分組討論、期末報告 In-class quizzes, group discussions, and a final report

Medical Statistics at a Glance (4th ed.)、Intuitive Biostatistics (4th ed.)、易學易用SPSS PASW 統計分析實務(第二版)