Biostatistics I

Code:

PDICSS13_2

Acronym:

PDICSS13_2

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

Instance: 2023/2024 - 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
PDICSS	46	Current Studies Plan	1	-	5	24	135

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.

Working method

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%).