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Epidemiology and Biostatistics I

Code: MD1104     Acronym: EB I

Keywords
Classification Keyword
OFICIAL Physical Sciences

Instance: 2012/2013 - 1S

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 105 PLANO OFICIAL 2007/2008 BOLONHA 1 - 5 72 135
Mais informaçõesLast updated on 2013-03-12.

Fields changed: Objectives, Métodos de ensino e atividades de aprendizagem, Fórmula de cálculo da classificação final, Melhoria de classificação final/distribuída, Palavras Chave, Programa, Software de apoio à Unidade Curricular, Componentes de Avaliação e Ocupação, Obtenção de frequência

Teaching language

Portuguese

Objectives

The transmission of the concepts and principles that govern the scientific spirit is the first priority, to be followed by the motivation for scientific work. This should enable the students to discipline: the literature (methodologies and sources), implementation of research design (integration of objectives and statistical methods), the interpretation of results based on statiscal analysis and dissemination. Finally, encourage scientific work for the multidisciplinary skills and obtaining greater interaction.

Learning outcomes and competences

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

Working method

Presencial

Program

1.       Basic concepts and principles of Epidemiology

2.       Levels of prevention for the disease

3.       Measuring disease

3.1.    Qualitative methods

3.2.    Quantitative methods (Rates)

4.       Morbidity indicators

5.       Mortality indicators

6.       Standardization of rates

7.       Epidemiology of infectious diseases.

8.       Properties of epidemiological studies

9.       Risk indicators

10.   Error in research

10.1.Aleatory

10.2.Systematic

11.   Association and causation in epidemiology

 

 

 

1.       General concepts of statistics

2.       Statistical estimators

3.       Random variables

3.1.    Discrete: Role of probability distribution function of probabilities.

3.2.    Continuous: the probability density function, the probability distribution function.

3.3.    Brief reference to the parameters of the probability distributions.

4.       Characterization of theoretical probability distributions

4.1.    Discrete

4.1.1.Binomial

4.1.2.Poisson

4.2.    Continued

4.2.1.Uniform distribution

4.2.2.Normal Distribution

4.2.3.t – Student Distribution

4.2.4.Z distribution

4.2.4.1.             Transformation Z

5.       Sampling Techniques

6.       Estimators and estimates in statistics

7.       6.1. Properties of estimators

8.       Brief reference to the methods of estimation

9.       Confidence interval estimate for:

9.1.    Mean

9.2.    Proportion

9.3.    Variance for a Normal population

9.4.    How to estimate the sample size

10.    Principles and properties of hypothesis testing

11.   Test Z and t-student - single population

12.   Test Z for a Binomial proportion - single population

Mandatory literature

Daniel Wayne W.; Biostatistics. ISBN: 978-0471-45654-4
Stone D; Armstrong R; Macrina D; Pankau J; Introdução à Epidemiologia, McGraw Hill, 1999. ISBN: 972-773-002-7
Beaglehole R.; Epidemiologia básica. ISBN: 85-7288-189-1
Maroco João; Análise estatística - com utilização do SPSS. ISBN: 978-972-618-452-2
Marques de Sá, Joaquim, P.; Applied statistics using SPSS, Statistica, MatLab and R, Springer, 2007. ISBN: 978-3-540-71971-7

Complementary Bibliography

Gordis Leon; Epidemiology. ISBN: 978-1-4160-4002-6
Oliveira A. Gouveia; Bioestatística, epidemiologia e investigação. ISBN: 978-972-757-558-9
Mausner and Bahn; Introdução à Epidemiologia, Fundação Caloust Gulbenkian, 1999

Teaching methods and learning activities

Theoretical and theoretician-practical lessons - Two weekly hours. Practical lessons - Two weekly hours. Times of study and work of inquiry - Three weekly hours and half.

Software

Spss
Excel

keywords

Health sciences > Medical sciences
Health sciences

Evaluation Type

Evaluation with final exam

Assessment Components

Description Type Time (hours) Weight (%) End date
Attendance (estimated) Participação presencial 76,00
Practical test Teste 1,00 45,00 2013-01-07
Theoretical test Exame 2,00 45,00 2013-01-21
Class attendance Participação presencial 10,00 2013-01-21
Total: - 100,00

Amount of time allocated to each course unit

Description Type Time (hours) End date
Learning contents Frequência das aulas 56 2013-01-14
Practical aplications Estudo autónomo 112 2013-01-21
Total: 168,00

Eligibility for exams

All classes are subject to the faults. To obtain frequency students will have less than 1 / 4 faults in relation to the total number of classes taught in the school year or result in the previous academic year.

Calculation formula of final grade

Normal Season: The evaluation system consists of the procedural method of assessment, summative and discontinuous, spread over four times, only for students in the discipline often this year. Moments of discontinuous and summative assessment: 1st Moment of assessment - Practical test (P1) - price 45%; 2nd Moment - Written test (T1) 2 hours (price 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 9.0 values at any one of the first three stages of evaluation described. Formula assessment procedure, discontinuous and summative: Final assessment = 0,45*P1 + 0,045*T1 + 0,1*attendance Students often in the previous year Students often failed in the previous year and obtain approval to test (T1), lasting two hours, where the proposed objectives will be evaluated at the beginning of the semester and the marks obtained in the RAE for the previous year (P2). The approval is made to depend on a minimum grade of 9.0 values to any of the two evaluation periods described. Final evaluation = 0,5*T1 + 0,5*P2 Season of Appeal: Will be submitted to the Examination Appeals students without prior approval and which have 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 - T(two hours) and a practical exam - P (1 hour) not subject to minimum grade. Formula assessment exam feature: Resource Assessment Final Exam = 0,75T + 0,25P

Classification improvement

Resource Assessment Final Exam and september season= 0,75T + 0,25P

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