Course Syllabus
Contenuti sintetici
- Linear regression
- Logistic regression
- Survival analysis
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.
The student will learn 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.
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.
- Logistic regressionMethodological 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
- Videoclip on Lecture 1
- Quiz on Lecture 1
- Videoclip on Lecture 2
- Quiz on Lecture 2
- Online class Mon 16/11/2020 h 10.00-11.15 https://unimib.webex.com/meet/laura.antolini
- Quiz on Lecture 3 (optional)
- Online class Mon 23/11/2020 h 10.00-11.15 https://unimib.webex.com/meet/laura.antolini
- Quiz on Lecture 4
- Videoclip on Lecture 5
- Quiz on Lecture 5
- Online class Mon 30/11/2020 h 10.00-11.15 https://unimib.webex.com/meet/laura.antoli
- Quiz on Lecture 6
Prerequisites
- Basic descriptive and inferential statistics.
- Basic use of Stata software.
Teaching form
During the Covid-19 emergency the lectures will be delivered from remote in asynchronous/synchronous manner and video recorded.
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 https://www.biblio.unimib.it/it in the section "curiosone"
- You can buy the paper back book here https://www.pearson.com/uk/educators/higher-education-educators/program/Triola-Biostatistics-for-the-Biological-and-Health-Sciences-Global-Edition-2nd-Edition/PGM1964951.html
- Quiz (mandatory for self assessement).
Slides (related to the book).
- Scientific papers.
Semester
First semester
Assessment method
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.
Office hours
When: under request by the elearning email
Where: on the Webex room of the teacher https://unimib.webex.com/meet/laura.antolini