Scientific Biomedical Communication

1.The role of statistics in biomedical research and scientific publications 2.Describing collective phenomena: descriptive statistics tools 3.What is normality 4. You must generalize: inferential statistics tools 1 5. You must generalize: inferential statistics tools 2 6. Validation of diagnostic tests 7.Causality in biomedical research and communication 8. Predictive models 9.Clinical trials: from design to report 10.Probabilities and risks: how they are calculated, how they are interpreted 11.The concept of threshold in biomedical research and clinical practice 12.The appropriate size of clinical studies: how many subjects make a study valid?

The training received during previous three-year degree courses is sufficient to follow this course successfully

Teacher's slides Guidelines for clinical trials Selection of scientific articles in the biomedical field

There is no obligation to attend

Interview on the topics of the program exam sessions 5/6/2025 (registrations on InfoStud by 29/5/2025) 19/6/2025 (registrations on InfoStud by 12/6/2025) 3/7/2025 (registrations on InfoStud by 27/6/2025) 18/9/2025 (registrations on InfoStud by 11/9/2025) 20/1/2026 (registrations on InfoStud by 13/1/2026)

Lectures and exercises on statistical aspects of clinically relevant studies

1.The role of statistics in biomedical research and scientific publications 2.Describing collective phenomena: descriptive statistics tools 3.What is normality 4. You must generalize: inferential statistics tools 1 5. You must generalize: inferential statistics tools 2 6. Validation of diagnostic tests 7.Causality in biomedical research and communication 8. Predictive models 9.Clinical trials: from design to report 10.Probabilities and risks: how they are calculated, how they are interpreted 11.The concept of threshold in biomedical research and clinical practice 12.The appropriate size of clinical studies: how many subjects make a study valid?

The training received during previous three-year degree courses is sufficient to follow this course successfully

Teacher's slides Guidelines for clinical trials Selection of scientific articles in the biomedical field

There is no obligation to attend

Interview on the topics of the program exam sessions 5/6/2025 (registrations on InfoStud by 29/5/2025) 19/6/2025 (registrations on InfoStud by 12/6/2025) 3/7/2025 (registrations on InfoStud by 27/6/2025) 18/9/2025 (registrations on InfoStud by 11/9/2025) 20/1/2026 (registrations on InfoStud by 13/1/2026)

Lectures and exercises on statistical aspects of clinically relevant studies

1.The role of statistics in biomedical research and scientific publications 2.Describing collective phenomena: descriptive statistics tools 3.What is normality 4. You must generalize: inferential statistics tools 1 5. You must generalize: inferential statistics tools 2 6. Validation of diagnostic tests 7.Causality in biomedical research and communication 8. Predictive models 9.Clinical trials: from design to report 10.Probabilities and risks: how they are calculated, how they are interpreted 11.The concept of threshold in biomedical research and clinical practice 12.The appropriate size of clinical studies: how many subjects make a study valid?

The training received during previous three-year degree courses is sufficient to follow this course successfully

Teacher's slides Guidelines for clinical trials Selection of scientific articles in the biomedical field

There is no obligation to attend

Interview on the topics of the program exam sessions 5/6/2025 (registrations on InfoStud by 29/5/2025) 19/6/2025 (registrations on InfoStud by 12/6/2025) 3/7/2025 (registrations on InfoStud by 27/6/2025) 18/9/2025 (registrations on InfoStud by 11/9/2025) 20/1/2026 (registrations on InfoStud by 13/1/2026)

Lectures and exercises on statistical aspects of clinically relevant studies