School
and Graduate Institute of Physical Therapy
Course
Syllabus in Applied Statistics: Regression Analysis / 2024
Course Number: optional; lecture (PT7077
428 M2120, 3 credit
hours)
Course Name: Applied Statistics: Regression
Analysis
Course Credit: 3 credit
Instructors: Jiu-jenq Lin (principal
instructor)
Phone: 33668126
Office: Rm. 327
Year Level: Graduate students
Schedule & Place : Wednesday morning (8:10－11:00),
Physical Therapy Classroom
Course Description:
This
course introduces the basic statistical methods including data screening, and regression
analysis applied in Physical Therapy research. Instead of statistical
calculations, the focus in on the interpretation of the statistical results.
General Objectives of the Course:
After completing this course, the students
would be able to
1. understand the regression analysis statistical methods applied in Physical
Therapy.
2.
independently calculate and interpret the results
of statistical methods using SPSS programs.
3.
has the ability to apply regression analysis statistical
methods to evaluate and criticize the research articles.
Contents:
|
1(2/21)
|
Course introduction |
Jiu-jenq Lin |
|
2(2/28) |
BREAK |
Jiu-jenq Lin |
|
3(3/6) |
Simple linear regression and correlation |
Jiu-jenq Lin |
|
4(3/13) |
Simple linear regression and correlation |
Jiu-jenq Lin |
|
5(3/20) |
Regression diagnostics |
Jiu-jenq Lin |
|
6(3/27) |
Regression diagnostics (article due day) |
Jiu-jenq Lin |
|
7(4/3) |
Elements of multiple regression analysis: two independent
variables |
Jiu-jenq Lin |
|
8(4/10) |
Categorical independent variables |
Jiu-jenq Lin |
|
9(4/17) |
Mid-term examination |
Jiu-jenq Lin |
|
10(4/24) |
Logistic regression analysis (proposal due day) |
Jiu-jenq Lin |
|
11(5/1) |
Principle
component analysis |
Jiu-jenq Lin |
|
12(5/8) |
Principle
component analysis |
Jiu-jenq Lin |
|
13(5/15) |
Final project oral report (1) |
Jiu-jenq Lin |
|
14(5/22) |
Final project oral report (2) |
Jiu-jenq Lin |
|
15(5/29) |
Final project oral report (3) |
Jiu-jenq Lin |
|
16(6/5) |
Article critique (critique due day) |
Jiu-jenq Lin |
Textbooks and References
1. Portney
LG. Foundations of clinical research:
Applications to evidence-based practice. 4th ed. F.A. DAVIS, 2020.
2. Huck SW. Reading statistics and
research. 6th ed. Pearson, 2011.
Grading System:
mid-term examination 40%, homework 10%, final report 40%, critique 10%