Analysis of Temporal Biomedical Data

Recommended Prerequisites

Knowledge of descriptive and univariated inferential statistics. Basic or intermidiate skills of SPSS (user level).

Teaching Methods

Lecturing, discussing and resolving practical problems.

Learning Outcomes

* Recognize the multivariate nature and time involvement of most biomedical problems;

* Understand the difference between cross-sectional and longitudinal studies;

* Acquire the fundamentals of statistical techniques for longitudinal studies involving fixed or variable time intervals;

* Perform and interpret results of statistical methods for longitudinal studies with fixed and variable time intervals;

* Acquire the fundamentals of stochastic time series and its decomposition;

* Perform and interpret results of stochastic time series;

* Use software tools to build statistical models involving time applied to biomedical data.

Work Placement(s)

No

Syllabus

* Longitudinal studies: short revision of univariate techniques;

* Analysis of variance: Repeated measures in fixed time intervals (parametric and nonparametric approaches);

* Parametric, semi-parametric and nonparametric survival analysis; the Kaplan-Meier estimator;

* Cox regression;

* Time series: stochastic processes ans decomposition (sazonality, cicle, tendency and randomness);

* Time series application: curve fitting, function approximation, predicting and forecasting, signal estimation, classification.

Head Lecturer(s)

Bárbara Cecília Bessa dos Santos Oliveiros Paiva

Assessment Methods

Assessment
Project: 100.0%

Bibliography

* Análise Estatística, com utilização do SPSS; João Maroco, Edições Silabo;

* Modelling Survival Data in Medical Research (Second ed., 2003). David Collet, Boca Raton: Chapman & Hall/CRC.

* Introductory Time Series with R, Cowpertwait PSP, Metcalfe AV (2009), Springer.