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# Biostatistics I

 Code: PDICSS13_2 Acronym: PDICSS13_2

Keywords
Classification Keyword
OFICIAL Health Sciences-Clinical and Health Serv. Research

## Instance: 2022/2023 - 1S

 Active? Yes Responsible unit: Department of Community Medicine, Information and Health Decision Sciences Course/CS Responsible: PhD in Clinical and Health Services Research

### Cycles of Study/Courses

Acronym No. of Students Study Plan Curricular Years Credits UCN Credits ECTS Contact hours Total Time
PDBM 1 Current Studies Plan 1 - 5 24 135
PDICSS 36 Current Studies Plan 1 - 5 24 135

### Teaching Staff - Responsibilities

Teacher Responsibility
Cristina Maria Nogueira da Costa Santos
José Alberto da Silva Freitas

### Teaching - Hours

 Theoretical and practical : 1,71
Type Teacher Classes Hour
Theoretical and practical Totals 3 5,13
Cristina Maria Nogueira da Costa Santos 1,928
Teresa Sarmento Henriques 0,846
Mariana Fernandes Lobo 0,428
José Alberto da Silva Freitas 1,928

### Teaching language

Suitable for English-speaking students

### Objectives

This unit aims to empower the students with theoretical foundations and practical approach to basic statistical methods used in clinical research, assessment of technologies and health service research. After this course unit the students should be able to: identify the correct statistical methodology for data analysis; apply these methods using statistical software; interpret the results of the statistical methods

### Learning outcomes and competences

At the end of this course, the students should be able to characterize different types of data and variables; computerize and process the data ; check for errors; describe graphically data; describe data with summary measures; apply basic techniques of statistical inferences ( point and interval estimation and hypothesis tests) and to apply a simple linear regression model. Students should also be able to criticize the statistical analysis of scientific articles published in the literature in Health Sciences area.

Presencial

### Program

Handling data: types of data: data entry; error checking.

Descriptive statistics: measures of average and measures of spread; displaying data graphically.

Introduction to probability.

Normal distribution and other theoretical distributions. Statistical inference – Sampling and estimation.

Hypothesis testing: parametric tests - t test, F test (One-Way ANOVA);

Non-parametric tests - Mann-Whintey, Kruskal-Wallis, Wilcoxon and qui-square tests.

Statistical power and sample size calculation.

Correlation and simple linear regression.

### Mandatory literature

Aviva Petrie, Caroline Sabin; ; Medical Statistics at a Glance, Wiley-Blackwell, 2013. ISBN: ISBN: 978-0-470-65848-2
Campbell MJ, Swinscow TDV; tatistics at Square One, 11th Edition. BMJBooks, 2009
Bland JM; An Introduction to Medical Statistics, Oxford Medical Publications

### Teaching methods and learning activities

Lectures, group discussion and individual exercises. All the activities will be supported by an e-learning platform.

### Software

IBM Statistical Package for Social Sciences (SPSS)
R Project for Statistical Computing

### Evaluation Type

Distributed evaluation with final exam

### Assessment Components

Designation Weight (%)
Exame 50,00
Trabalho prático ou de projeto 50,00
Total: 100,00

### Amount of time allocated to each course unit

Designation Time (hours)
Elaboração de projeto 56,00
Estudo autónomo 55,00
Frequência das aulas 24,00
Total: 135,00

### Eligibility for exams

The frequency will be obtained according to the pedagogical regulation.

### Calculation formula of final grade

The final grade will be based on the result of a theoretical exam (50%) and componente based on practical application of the aquired knowledge (50%).