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Biostatistics I

Code: MSP12_2     Acronym: MSP12_2

Keywords
Classification Keyword
OFICIAL Statistics

Instance: 2015/2016 - 1S Ícone do Moodle

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 18 Master Degree Public Health - Official Plan12 1 - 4 36 108

Teaching Staff - Responsibilities

Teacher Responsibility
Maria Margarida da Fonseca e Castro Cardoso

Teaching - Hours

Theoretical classes: 1,28
Laboratory Practice: 1,28
Type Teacher Classes Hour
Theoretical classes Totals 1 1,28
Maria Margarida da Fonseca e Castro Cardoso 1,28
Laboratory Practice Totals 1 1,28
Maria Margarida da Fonseca e Castro Cardoso 1,28

Teaching language

Suitable for English-speaking students

Objectives

The main objective of this training program is that students acquire both theorethical and practical knowledge in basic biostatistics.

Learning outcomes and competences

Students should be trained to have not only the theoretical knowledge in biostatistics but also the verbal and written skills to be effective in a team research environment. Teaching is concentrated on ensuring that students understand the basic statistical concepts, reinforced by means of problem solving, students should be able to define the objective of the analysis, justify the statistical procedure considering the necessary assumptions, and interpret the results obtained.

Working method

Presencial

Program

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.

Mandatory literature

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.

Software

SPSS

Evaluation Type

Evaluation with final exam

Assessment Components

Designation Weight (%)
Exame 100,00
Total: 100,00

Calculation formula of final grade

Final exam.
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