# Biostatistics I - Health Data Analysis

## Objectives

1. Understand the importance of the use of statistics in designing research projects.
2. Distinguish the various types of variables and measurement scales.
3. Use appropriately Exploratory Analysis and Descriptive Statistics concepts.
4. Apply the concepts of point and interval estimation.
5. Decide between parametric and nonparametric tests in international health applications.
6. Distinguish the concepts of correlation and association and how to apply them in real life cases.
7. Use and to analyze the outputs from SPSS or other statistical software.
8. Use in a responsible way SPSS or other complementary programs.

## General characterization

5788001

3

##### Responsible teacher

Maria do Rosário O. Martins

Weekly - 6,5

Total - 46

Portuguese

Not applicable

### Bibliography

• Armitage P., Berry G. Statistical Methods for Medical Research, 4rd Edition. Oxford: Blackwell Science Ltd. 2005.
• Bland, M., An Introduction to Medical Statistics, 3rd Edition, Oxford University Press.
• Douglas G. Altman. Practical Statistics for Medical Research, Chapman and Hall/CRC Texts in Statistical Science.
• G. Cunha, M. Rosário Martins, R. Sousa, F. Ferraz Oliveira. Estatística Aplicada às Ciências e Tecnologias da Saúde, Editora LIDEL.
• J Martin Bland, Douglas G. Altman, Statistical Notes, BMJ.

### Teaching method

Lectures and tutorials. The classroom sessions will be theoretical and practical, involving the analysis of on-the databases through the use of statistical programs such as SPSS.

### Evaluation method

Assessment: exam (50%); individual work (50%).

## Subject matter

I. Introduction: What it is the statistics and its importance in International Health Research; Classification of Variables and Measurement Scales; Stages of Statistical Analysis Process; Organization and presentation of data.
II. Descriptive Statistics: Location Measures (Mean, Mode, Median); Dispersion measures (variance, standard deviation, coefficient of variation); Main Distributions; sample distributions and Central Limit Theorem.
III. Introduction to Inferential Statistics: Confidence Intervals for the mean and proportion; Main stages underlying the construction of a Hypothesis Test; Kolmogorov-Smirnov test and Shapiro-Wilk test.
VI. Parametric and non-parametric tests; Parametric tests: test for equality of means between two groups; Paired samples and independent samples; Nonparametric tests: test of equality of medians for two or more groups.
V. Correlation and Association: Association and Chi-square test; Pearson's Linear Correlation and Spearman's Correlation.

## Programs

Programs where the course is taught: