Medical Statistics

Code:

MI005

Acronym:

MI005

Keywords
Classification	Keyword
OFICIAL	Medicine

Instance: 2014/2015 - SP

Active?	No
Responsible unit:	Department of Health Information and Decision Sciences Department
Course/CS Responsible:	Integrated Master in Medicine

Cycles of Study/Courses

Acronym	No. of Students	Study Plan	Curricular Years	Credits UCN	Credits ECTS	Contact hours	Total Time
MIMED	0	Mestrado Integrado em Medicina 2007	6	-	1,5	32	40,5
		Mestrado Integrado em Medicina- Plano oficial 2013 (Reforma Curricular)	6	-	1,5	32	40,5

Teaching language

Portuguese

Objectives

The students will learn the theoretical foundations and practical approach to advanced statistical methods used in clinical research, assessment of technologies and health service research. After this course unit the students should be able to: identify the correct statistical methodology for data analysis; apply these methods using statistical software; interpret the results of the statistical methods.

Learning outcomes and competences

After this course unit the students should be able to: identify the correct statistical methodology for data analysis; apply these methods using statistical software; interpret the results of the statistical methods.

Working method

Presencial

Pre-requirements (prior knowledge) and co-requirements (common knowledge)

The students should be familiar with the basic concepts of descriptive and inferential statistics.

Program

Review of basic statistical concepts; multiple linear regression; logistic regression; survival analysis; model building; model selection; model diagnosis; analysis of correlated data; analysis of measurement agreement; probabilistic graphical models.

Mandatory literature

Principles of Biostatistics; Marcello Pagano, Kimberlee Gauvreau, Duxbury/Thomson Learning, 2000
Michael J. Campbell; Statistics at Square Two: Understanding Modern Statistical Applications in Medicine. 2nd Edition , BMJ Books , 2006

Complementary Bibliography

David G. Kleinbaum; Lawrence L. Kupper; Keith E. Muller; Azhar Nizam; Applied Regression Analysis and Multivariable Methods, Duxbury Press, 1997
David W. Hosmer and Stanley Lemeshow; Applied Logistic Regression Analysis, Willey -Interscience, 2000
David Collett; Modelling Survival Data in Medical Research, Chapman & Hall, 2003

Teaching methods and learning activities

After the presentation of each topic there will be time to solve practical exercises using statistical software. An e-learning platform will be used to deliver class notes and to facilitate the communication between students and teaching staff.

keywords

Physical sciences > Mathematics > Statistics > Medical statistics

Evaluation Type

Distributed evaluation with final exam

Assessment Components

Designation	Weight (%)
Exame	50,00
Teste	50,00
Total:	100,00

Eligibility for exams

In accordance with the rules approved by FMUP.

Calculation formula of final grade

The final grade will be based on the result of a theoretical exam (10 points) and practical exercises throughout the course unit (10 points).

Examinations or Special Assignments

There is no special assignments.

Special assessment (TE, DA, ...)

In accordance with the rules approved by FMUP.

Classification improvement

In accordance with the rules approved by FMUP.