Biostatistics II

Code:

PDICSS013_8

Acronym:

PDICSS013_8

Keywords
Classification	Keyword
OFICIAL	Health Sciences-Clinical and Health Serv. Research

Instance: 2023/2024 - 2S

Active?	Yes
Responsible unit:	Department of Community Medicine, Information and Health Decision Sciences
Course/CS Responsible:	PhD in Clinical and Health Services Research

Cycles of Study/Courses

Acronym	No. of Students	Study Plan	Curricular Years	Credits UCN	Credits ECTS	Contact hours	Total Time
PDICSS	30	Current Studies Plan	1	-	6	28	162

Teaching language

Suitable for English-speaking students

Objectives

- Explain the theoretical and practical foundations to the application of advanced statistical methods applied to clinical, health services and health technologies assessment research;

- Extend the concept of linear regression to generalized linear models (GLM)

- Use specific methods to time-to-event data (survival analysis);

- Interpret results of multivariable GLM, in particular linear regression and logistic regression, including interaction between variables;

- Integration of the statistical and clinical points of view in the development and assessment of regression models;

- Explain the concepts of Poisson regression and the basics of missing data, propensity scores and longitudinal data.

 

Learning outcomes and competences

At the end of this course, the students should acquire knowledge and understanding of the characteristics and assumptions of the addressed advanced statistical methods. With these learning outcomes, the students should gain competences of identifying the most appropriate method(s) for a particular situation and be able to perform a critical understanding of the obtained results.

Working method

Presencial

Program

- Multivariable linear regression analysis;

- Simple and multivariable logistic regression analysis;

- Development and assessment of linear and logistic regression models;

- Survival analysis;

- Introduction to the concepts of Poisson regression, missing data, propensity scores and longitudinal data.

Mandatory literature

Pagano, M. & Gauvreau, K. ; Princípios de bioestatística , Cengage Learning., 2004
Campbell, M.J; Statistics at Square Two: Understanding Modern Statistical Applications in Medicine, BMJ Books, 2001
Altman, D. ; Practical Statistics for Medical Research, Chapman & Hall/CRC. , 1999

Teaching methods and learning activities

Teaching methodologies and learning activities include:

- Presentation of each theoretical topic;

- Tutorial session with group discussion and solving exercises;

- Use of an optimized electronic platform (Moodle) for storing the course materials, evaluation and contact between students and the teaching staff.

Evaluation Type

Distributed evaluation with final exam

Assessment Components

Designation	Weight (%)
Exame	100,00
Total:	100,00

Amount of time allocated to each course unit

Designation	Time (hours)
Frequência das aulas	28,00
Total:	28,00

Eligibility for exams

The frequency will be obtained according to the pedagogical regulation.

Calculation formula of final grade

The evaluation of this curricular unit consists of a written exam, which includes the resolution of practical exercises using appropriate software.