Epidemiology and Biostatistics II

Code:

MD1205

Acronym:

EB II

Keywords
Classification	Keyword
OFICIAL	Physical Sciences

Instance: 2019/2020 - 2S

Active?	Yes
Responsible unit:	Mestrado Integrado
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	95	PLANO OFICIAL 2007/2008 BOLONHA	1	-	5	72	135

Teaching language

Portuguese

Objectives

The fundamental goals are the deepening and consolidation of the scientific spirit started in the EB I. Thus, it is intended that students differentiate the applicability of different parametric and non-parametric statistical methods for testing relationship hypothesis. In addition, it is intended that the students might be able to determine the strength and the evidence of statistical results and finally, the students must know to discuss the plausibility of a possible causal link. Iis intended to obtain critical skills, although empirical, about multifactorial nature that underlies the origin of the overwhelming majority of diseases. In the field of Epidemiology, further it’s aimed that students know to interpret the main properties of diagnostic methods and, according to them, to discuss the application of diagnostic procedures and methods of suited to the proposed aims.

Learning outcomes and competences

It is estimated that the students obtain analitycal and critical capacity before statistical results, and gain critical skills in the analysis of scientific comunications.

Working method

Presencial

Program

Statistics 1. Applied statistics with SPSS statistical analysis and calculation

Adjustment of a variable to a function of the probability distribution:Kolmogorov - Smirnov test and Qui-square test
Correlation and Pearson linear regression
Spearman correlation
Qui-square test for independence
Kappa and McNemar test
U test for independent samples and paired

EPIDEMIOLOGY AND PUBLIC HEALTH 

Prevention of the diseases - Screening
Concepts of "normality"
Clinical Epidemiology - Diagnosis tests
Properties of diagnostic tests
Likelihhood ratio positive and negative
Analysis of ROC curves.

Mandatory literature

Daniel Wayne W.; Biostatistics. ISBN: 978-0471-45654-4
Gordis Leon; Epidemiology. ISBN: 978-1-4160-4002-6
Beaglehole R.; Epidemiologia básica. ISBN: 972-98811-2-X
Jekel James F.; Epidemiologia, bioestatística e medicina preventiva. ISBN: 85-363-0296-8
Maroco João; Análise estatística - com utilização do SPSS. ISBN: 978-972-618-452-2

Teaching methods and learning activities

Theoretical and theorical-pratical lessons: two hours / week

Practical lessons: two hours / week.

Individualized work: five and half hours/ week.

Software

SPSS

keywords

Physical sciences > Mathematics > Statistics > Medical statistics
Health sciences

Evaluation Type

Distributed evaluation with final exam

Assessment Components

Designation	Weight (%)
Exame	45,00
Participação presencial	10,00
Teste	45,00
Total:	100,00

Amount of time allocated to each course unit

Designation	Time (hours)
Estudo autónomo	120,00
Frequência das aulas	60,00
Total:	180,00

Eligibility for exams

Practical and theoretical-practical lessons are relied from faults regimen.

The evaluation system will be implemented by the method of discontinuous and summative assessment procedure to be carried out with a teorical test and a practical test

Discontinuous and summative assessment: Theoretical exam (quotation 45% ); Practical exam of statistic and SPSS (quotation 22,5% + 22,5%). Attendance: (Rating 10% of the proportionate share of attendance).

Conditions of approval:

1. In the assessment procedure, students may be approved only with more than 10 out of 20 in each of the two exames (theoretical and practical) and achieving a minimum average of 10 points.

2. Minimum attendance in lectures and practical (3 / 4).

Resource evaluation: Theoretical exam (quotation - 50%); practical exam (quotation - 50%).

Conditions of approval:

1. Final classification, minimum 10 points.

2. Minimum attendance in lectures and practical (3/4).

 

 

Calculation formula of final grade

Normal Season: The evaluation system consists of the procedural method of assessment, summative and discontinuous, spread over three steps: 1st Moment of assessment - Practical test (P1) - proportion 45%; 2nd Moment - theoretical test (T1) (proportion 45%); 3rd Moment - Attendance (quotation stratified in relation to attendance, in addition to the mandatory minimum and a maximum of two values - 10%). The approval is made to depend on a minimum grade of 10 marks at any moment of evaluation described. Formula assessment procedure, discontinuous and summative: Final assessment = 0,45*P1 + 0,45*T1 + attendance. Students often failed in the previous year, but did not have the attendance component. The approval will be according to the formula of final evaluation = T1*0.5 + 0.5 * P1, depending on a minimum score of 10 in two evaluation described P1 and T1. Appeal chance: Will be submitted to the examination appeals, students without prior approval and which have no more than 25% of faults in relation to the lessons given (taking frequency arising out of or in previous years). This method of evaluation consists of an examination - theoretical exam (T) and a practical exam (P) not subject to minimum grade. Students with a grade of 14 in practical exam obtained in the respective normal season will be excuse. Formula assessment for final exam:
Final Exam assessment = 0,5*T + 0,5*P

Special assessment (TE, DA, ...)

Evaluation in extraordinary time (September):

This evaluation is composed by a theorectical exam (T) and a practical exam (P). Minimum remarks are not required.

Final classification=0,75*T + 0,25*P

Classification improvement

In appeal time.