Applied Bioestatistics

Code:

MSP12_13

Acronym:

MSP12_13

Keywords
Classification	Keyword
OFICIAL	Statistics

Instance: 2015/2016 - 2S

Active?	Yes
Responsible unit:	Clinical Epidemiology, Predictive Medicine and Public Health Department
Course/CS Responsible:	Master Degree Course in Public Health

Cycles of Study/Courses

Acronym	No. of Students	Study Plan	Curricular Years	Credits UCN	Credits ECTS	Contact hours	Total Time
MSP	1	Master Degree Public Health - Official Plan12	1	-	3	27	81

Teaching language

English

Objectives

The general objective of this optional module is to widen the discussion of concepts and methodologies on statistical analysis, which were taught in the previous modules (Biostatistics I and II), taking into account the students’ research area.

Learning outcomes and competences

Students should be able to:
To learn and to apply statistical programmes for data analysis on their research work;

Select the appropriate multivariate statistical model for the scientific question under analysis;

know how to build the model and to implement it an statistical software;

Analyse critically the built model and to interpret the results.

Working method

Presencial

Program

Multivariable statistical models: analysis of multiple/logistical regression, survival analysis, multilevel models analysis, longitudinal data analysis, and clusters’ analysis. Critical evaluation of scientific articles and discussion of the statistical analysis models used.

Mandatory literature

Christensen, R.; Analysis of variance, design and regression, Chapman and Hall, 1996
Hosmer DW & Lemeshow S.; Applied Logistic Regression, John Wiley and Sons, 1989
Hox J. ; Multilevel Analysis, Lawrence Erlbaum Associates, 2002
Siegel S. & Castellan N. J. Jr ; Non-parametric statistics for Behavioral Sciences, McGraw-Hill, Inc. , 1988
Sokal, R.R. & F.J. Rohlf ; Biometry - The Principles and Practice of Statistics in Biological Research, W.H. Freeman and Company, 1995

Teaching methods and learning activities

1. Self-direted learning


2. Expository, collaborative and active methodology


3. Applied learning (solving exercises)

 

A total of 81 hours of student’s work, of which 27 are of contact, distributed as follows is estimated:

14h of weekly theoretical sessions;

7h of weekly theoretical-practical sessions;

6h of laboratorial practice sessions.

The evaluation takes place along the semester and comprises two essays that are discussed and evaluated at the time they are presented; each contributes in 50% for the final classification.

Evaluation Type

Distributed evaluation without final exam

Assessment Components

Designation	Weight (%)
Trabalho escrito	100,00
Total:	100,00

Eligibility for exams

Attendance of at least 75% of all classes.

Calculation formula of final grade

The evaluation takes place along the semester and comprises two essays that are discussed and evaluated at the time they are presented; each contributes in 50% for the final classification.