Course Syllabus

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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.

  • Linear regression
  • Logistic regression
  • Survival analysis

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.

- Logistic regression

Methodological definition of logistic regression: model formulation, results interpretation, prediction.

Comment on the results of a scientific paper including logistic 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.

Time Table

  • Lecture 1
  • Quiz on Lecture 1
  • Lecture 2
  • Quiz on Lecture 2
  • Lecture 3
  • Quiz on Lecture 3 (optional)
  • Lecture 4
  • Quiz on Lecture 4
  • Lecture 5
  • Quiz on Lecture 5
  • Lecture 6
  • Quiz on Lecture 6

  • Basic descriptive and inferential statistics.
  • Basic use of Stata software.

Standard synchronous classes and and video-clips.

- Book "Biostatistics for Biological and Health Sciences" - chapter 1 (section 3), chapter 10 (from section 2 to 5) and chapter 14.

- Quiz (mandatory for self assessement).

Slides (related to the book).

- Scientific papers.

First semester.

From 10 to 12, LAB1811 U18 Monza, Dates: 11-18-25 Oct, 29 Nov, 10 Dec

On esamionline.elearning platform. Type of test: multiple choice/open questions (11 questions, 3 points for each correct answer, no penalties for wrong answers). If the total score is >=18 you pass.

Under request by the elearning email, in the Webex room of the teacher  https://unimib.webex.com/meet/laura.antolini

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Key information

Field of research
MED/01
ECTS
1
Term
First semester
Activity type
Mandatory
Course Length (Hours)
15
Degree Course Type
6-year single cycle Master Degree
Language
English

Staff

    Teacher

  • LA
    Laura Antolini

Enrolment methods

Manual enrolments
Guest access
Self enrolment (Student)