Epidemiology and Biostatistics I

Code:

MD1104

Acronym:

EB I

Keywords
Classification	Keyword
OFICIAL	Physical Sciences

Instance: 2013/2014 - 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	99	PLANO OFICIAL 2007/2008 BOLONHA	1	-	5	72	135

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)

                               3.2.1     Morbidity indicators

                              3.2.2    Mortality indicators

      3.3.      Standardization of rates

4.       Epidemiology of infectious diseases.

5.       Properties of epidemiological studies

6.       Risk indicators

7.   Error in research

7.1.Ramdom

7.2.Systematic

 

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

      6.1. Properties of point estimators

      6.2.   Brief reference to the methods of estimation

7.       Confidence interval estimate for:

7.1.    Mean

7.2.    Binomial proportion

7.3.    Variance for a Normal population

74.    How to estimate the sample size

8.    Principles and properties of hypothesis testing

9.   Test Z and t-student - single population

       9.1.   Test Z for mean - single population

       9.2.   Test Z for 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
	Exame		45,00
	Participação presencial		10,00
	Teste		45,00
	Total:	-	100,00

Amount of time allocated to each course unit

Description	Type	Time (hours)	End date
	Estudo autónomo	112
	Frequência das aulas	56
	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: 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  stages of evaluation described. Formula assessment procedure, discontinuous and summative: Final assessment = 0,45*P1 + 0,45*T1 + 0,1*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 * P2, depending on a minimum score of 9,0 in two evaluation described P1 and T1. Season of Appeal: 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 - 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= 0,75 *Theoretical exam + 0,25 *Practical exam