Research Methology and Biostatistics II

Code:

MIMD010211

Acronym:

MIBIOE II

Keywords
Classification	Keyword
OFICIAL	Physical Sciences

Instance: 2025/2026 - 2S

Active?	Yes
Responsible unit:	Gestão Académica
Course/CS Responsible:	Integrated Master in Dental Medicine

Cycles of Study/Courses

Acronym	No. of Students	Study Plan	Curricular Years	Credits UCN	Credits ECTS	Contact hours	Total Time
MIMD	103	Official Plan for the Academic Year 2025/2026	1	-	4	54	108

Teaching language

Portuguese

Objectives

The objectives of the course are to emphasize statistical concepts obtained in the discipline of the 1st semester, namely in the comparison of groups.

Emphasise the relationship between statistical association and causality. Demonstrate the applicability of different diagnostic methods according to their properties. Demonstrate the importance of the relationship between: the research question, the methodology of epidemiological studies, measurement methods and statistical analysis methods. Introduction to multivariate hypothesis tests

Learning outcomes and competences

It is intended that students be able to compare two groups, test associations and correlations.

In the field of diagnostic methods, students should be able to estimate and interpret their validity and reliability. Students should distinguish between the different study designs for implemented and their main advantages and disadvantages accordingly to previous objectives. In this sense, students should know how to interpret the main risk indicators.

Finally, students should be able to identify the advantages and disadvantages of different multivariate estimation and forecasting methods.

Working method

Presencial

Program

 Measurments errors:

 Randomized

 Sistematic

Two sample T - test

U Mann-Whitney test

Wilcoxon test

Research models - Risk indicators 

Qui-Squate Tests

McNemar Test

Correlation and simple linear regression

Spearman correlation

Normality concepts in Clinical Epidemiology

Diagnosis tests - Evaluation of validity and realibility (Kappa statistic). ROC curves

Introduction to multivariate statistical methods

 

Mandatory literature

Wayne W. Daniel; Biostatistics. ISBN: 978-0471-45654-4
Leon Gordis; Epidemiology. ISBN: 978-1-4160-4002-6
João Marôco; Análise estatística com SPSS Statistics, ReporNumber, 2018. ISBN: 978-989-96763-5-0
Betty R. Kirkwood; Essential medical statistics. ISBN: 978-0-86542-871-3

Teaching methods and learning activities

Theoretical and practical classes with computer software support. Use of the Moodle platform for forums of discussion and self-assessments.

Software

SPSS

keywords

Health sciences

Evaluation Type

Distributed evaluation with final exam

Assessment Components

Designation	Weight (%)
Participação presencial	40,00
Exame	60,00
Total:	100,00

Amount of time allocated to each course unit

Designation	Time (hours)
Estudo autónomo	90,00
Frequência das aulas	45,00
Total:	135,00

Eligibility for exams

The Practical classes are subject to the regime of absences.
Minimum compulsory attendance (75%).

Calculation formula of final grade

Normal season (EN):
The assessment system is made up of the procedural, continuous and summative assessment method, comprising two stages: 1st Assessment stage - Theoretical test (T) on the fundamentals of biostatistics (0.6 marks); 2nd Assessment stage - Productivity in statistical analysis in SPSS throughout the semester. Passing depends on a minimum mark of 10 in either of the two stages.

Final assessment formula in the normal period = 0.6*theoretical exam + 0.4*productivity - practical classes.

Continuous assessment (with exemption from practical exam):

All positive practical assessments - 14 points
One absence or one negative practical assessment - 13 points
Two absences or two negative practical assessments - 11 points
Three or more negative practical assessments or absences require a practical exam in analytical statistics - SPSS (Class model)
Normal season formula (No continuous assessment - with practical exam):
Classification with final exam = 0.5*theoretical exam + 0.5*practical exam (minimum 10 marks in both parts).

Appeal period (assessment with final exam):
Students who have not previously passed the exam and who have no more than 25 per cent of absences in relation to the classes given (obtaining attendance in the current) will be submitted to the Appeal Exam.
Students who have failed at least one of the two components of the EN. If only the missing component is taken, the positive mark obtained in the EN will be awarded to the component already passed.

This assessment method consists of a practical exam (P) and a theoretical exam (T).
Appeal period formula = 0.5 x Exam (T) + 0.5 x Assessment (P)
(minimum 10 marks in both parts).

Special assessment (TE, DA, ...)

Extraordinary evaluation (September):

Special season exam = 0,5*P + 0,5*T

Mínimo 10,0 valores em qualquer das duas componentes (TP e P)

Classification improvement

Grade improvement (appeal period) - It doesn't require the two assessments, theoretical and practical. The better of the two final marks is awarded (normal or appeal period).

Formula for improvement (appeal period) = 0.5 x TP exam + 0.5 x practical assessment (P)

Minimum 10.0 marks in both components (TP e P)