Course Syllabus
Aims
The student will learn:
- the basic tools to understand scientific results in observational and experimental studies with continuous outcome, binary outcome, survival time outcome.
- how to interpret results from regression models relating aforementioned outcome to explanatory/exposure variables.
The student will work on the intepretation of results from scientific papers in cardiologic research in adults and children.
Contents
- Linear regression
- Survival analysis
Detailed program
Recap on study designs, sampling methods, confidence intervals.
- Linear regression
Methodological definition of correlation and linear regression: model formulation, results interpretation, prediction.
Comment on the results of a scientific paper including linear regression analysis.
- Survival analysis
Basic theory in survival analysis: complexities of life time data, survival/incidence functions, rate, hazard function, Kaplan Meier estimator, epidemiological rate (exponential) estimator. Comment on the results of a scientific paper including Kaplan Meier curves and Cox model.
- Additional content (not mandatory)
Stata commands to run Linear regression, logistic regression, Kaplan Meier analysis.
Prerequisites
- Basic descriptive and inferential statistics.
- Basic use of Stata software.
Teaching form
Standard synchronous classes and and video-clips.
Textbook and teaching resource
- Book "Biostatistics for Biological and Health Sciences" - chapter 1 (section 3), chapter 10 (from section 2 to 5) and chapter 14.
- You can borrow the e-book here in the section "curiosone"
- Quiz (for self assessement).
Slides (related to the book).
- Scientific papers.
Semester
First semester.
From 10 to 13, LAB in Monza, Dates: 09, 16 Oct, 20, 27 Nov, 11 Dec
Assessment method
On esamionline.elearning platform.
Type of test: multiple choice/open questions (10 questions, 3 points for each correct answer, no penalties for wrong answers), 3 additional points scored by the offline question.
If the total score is >=18 you pass.
Office hours
Under request by the elearning email, in the Webex room of the teacher.