Epidemiology and Biostatistics I

Code:

MD1104

Acronym:

EB I

Keywords
Classification	Keyword
OFICIAL	Physical Sciences

Instance: 2016/2017 - 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	120	PLANO OFICIAL 2007/2008 BOLONHA	1	-	5	72	135

Teaching language

Portuguese

Objectives

It is intended to enable the students for: search bibliography, implementation of research design, interpretation of results based on statiscal analysis and publishing.
It is estimated that the students obtain analytical capacity in statistical results, and gain critical skills in analysis. For that, it is desired that students distinguish measurement scales and interpret different types of errors. It is desire that students apply statistical indicators and realise inferential procedures by parametric methods. Additionally, it is expected that students know to distinguish the main types of epidemiological studies and the epidemiological indicators obtained. In the field of Epidemiology, the students should be able to describe and interpret the health status of populations, with particular emphasis on infectious diseases, and thus learn to discuss the relevance of the different levels of disease prevention

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

Basic concepts and principles of Epidemiology:

 

Levels of prevention for the disease

Measuring disease

Qualitative methods

Quantitative methods (Rates)

Morbidity indicators

Mortality indicators

Standardization of rates

Epidemiology of infectious diseases.

Properties of epidemiological studies

Risk indicators

Error in research

Ramdom

Systematic

 

General concepts of statistics:

Statistical estimators

Random variables

 Discrete: Role of probability distribution function of probabilities.

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

Brief reference to the parameters of the probability distributions.

Characterization of theoretical probability distributions

 Discrete:

  Binomial

  Poisson

Continued:

  Uniform distribution

  Normal Distribution

  t – Student Distribution

  Z distribution

  Transformation Z

 

Sampling Techniques

Properties of point estimators

Brief reference to the methods of estimation

 Confidence interval estimate for:

  IC for Mean

  IC for Binomial proportion

Estimating the sample size

Principles and properties of hypothesis testing

 Test Z and t-student - single sample

 Test Z for one mean

 Test Z for one Binomial proportion

 T- testes for two independent and paired samples

F - Snedecor Test

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

Calculadora científica
Spss

keywords

Health sciences > Medical sciences
Health sciences

Evaluation Type

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	112,00
Frequência das aulas	56,00
Total:	168,00

Eligibility for exams

The TP and P classes are subject to the faults. To obtain frequency students will have less than 1 / 4 faults in relation to the 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 moment 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 * P1, 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. Students with a grade of 14 in practical exam obtained in the respective normal season will be excuse. 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