Biostatistics

Classes consist of a theoretical exposition of the subject, but always accompanied by practical examples so that there is a better and easier understanding of it. The resolution of practical exercises is done using the SPSS computer support, thus making it possible to apply the material taught to real cases.
Students are provided a theoretical support, throughout the semester, so that they can better follow the explanation of the subjects taught. The clarification of questions is done in fixe schedule or in time to be arranged. The NONIO platform is used in the transmission and organization of support to school materials as well as through interaction teacher / student and among students.
The continuous evaluation of knowledge is carried out based on two time points. The final continuous evaluation is the weighted average of the two time points, and the weight of each test is 6 and 14.

The student should acquire skills to understand the underlying applicability of the theoretical models used for
statistical analysis as well as analyse and interpret the results obtained. Students should also be able to use the computer software SPSS to solve problems involving the concepts developed in the course.
The student should acquire the basic skills for conducting studies for quantitative analysis, also critical appreciation and proper interpretation of the results of an inferential study.

Descriptive statistics
Population, sample and individuals
Frequency tables and graphical representation
Statistics – measures of central tendency, dispersion, Skewness and Kurtosis
Correlation and Regression
Hypothesis testing
Statistical Assumptions
Classification errors and significance levels
Parametric Statistics: One-sample t-test; two-sample t-tests for a difference in mean; Analysis of variance – One-Way
ANOVA
Non-parametric tests: paired samples: Friedman, Wilcoxon and McNemar; independent samples: Mann-Whitney U and
Kruskal-Wwallis H;
Association and Correlation.

NAO