Instance: 2020/2021 - 1S
Cycles of Study/Courses
||No. of Students
Teaching Staff - Responsibilities
Teaching - Hours
The main objective of this training program is that students acquire both theorethical and practical knowledge in basic biostatistics.
Learning outcomes and competences
After attending the course unit all students should be able to explore data using statistical measures and graphical methods; know how to apply simple statistical procedures autonomously; identify the types of statistical tests that can be applied in a given dataset, know the assumptions and know how to test them; know the limitations and strength of the conclusions obtained from the statistical analysis carried out; demonstrate the ability to analyze and systematize the information collected.
1. Descriptive Statistics: types of biological data; exploring data: variables and distributions, relationships. 2. Probability and sampling distributions. 3. Introduction to inference: estimation and hypothesis testing. 4. Statistical inference with quantitative data: one sample t test, paired sample t test, independent sample t test. 5. Statistical inference with categorical data: inference about a population proportion, comparing two proportions, qui-square test of independence, McNemar test. 6. Linear Regression.
Baldi B., D.S. Moore; The practice of statistics in the life sciences, W.H. Freeman and Company, 2012
Sokal R. , F.J. Rohlf; Biometry – The principles and practice of statistics in biological research, W.H. Freeman and Company, 2012
Zar J.H.; Biostatistical Analysis, Prentice - Hall International Inc., 2010
Teaching methods and learning activities
The teaching methods include the traditional face-to-face classes. In the lecture sessions, the concepts of each module are introduced and reinforced by means of the resolution of small biomedical/biological problems. In the practical component the students resolve several problems, with emphasis on the correct formulation of the statistical problems proposed and in the interpretation of results. Students should provide the scope, purpose and rationale of the study; should identify and describe the statistical methods, considering the necessary assumptions, state the statistical significance level considered and specify the computer program used; students should be able to report adequately the important trends and main results observed in their data analysis; and should indicate the interpretation of the main results and the conclusions. The final exam includes several problems. The resolution of the problems requires the same skills necessary for the resolution of the exercises proposed to the students in the practical component of the course.
Evaluation with final exam
Amount of time allocated to each course unit
|Frequência das aulas
Eligibility for exams
Students should attent at least 3/4 of the classes.
Calculation formula of final grade