Curricular Unit:			Code:
Biostatistics			1023BEST
Year:	Level:	Course:	Credits:
1	Undergraduate	Speech Therapy	5 ects
Learning Period:		Language of Instruction:	Total Hours:
		Portuguese/English	65
Learning Outcomes of the Curricular Unit:
Objectives: it is intended to teach the most used statistical methods used in the medical applications and procedures. To make possible the development of statistic analysis knowledge techniques, presenting pertinent examples and practical situations in order to demonstrate the concepts. Skills: - Correctly apply the techniques of descriptive statistics to data from a sample; - Use statistical inference techniques to obtain information about the population.
Syllabus:
Basic concepts. Descriptive statistics: type of variables, frequency distributions, measures of central tendency, measures of dispersion, measures of asymmetry and kurtosis. Correlation and Linear regression. Random variables: discrete and continuous random variables, probability distribution function and cumulative distribution function for univariate discrete and continuous variables. Some important probability distributions for discrete and continuous variables. Confidence intervals: for the mean, for the variance, for the proportion, for RR and OR. Sample dimension calculation. Parametric and non-parametric hypothesis testing: approaches to hypothesis testing, type I and type II errors. The most common tests.
Demonstration of the Syllabus Coherence with the Curricular Unit's Objectives:
Biostatistics is an important tool to scientific research in health sciences. The selected programatic contents are those used in exploratory data analysis and of inference of any quantitative research.
Teaching Methodologies (Including Evaluation):
2 tests
Demonstration of the Coherence between the Teaching Methodologies and the Learning Outcomes:
Classes focus on active and participative methods with a view to a practical application of the critical contents covered during the lessons. The critical reading of papers, manly the material and methods and the results' sections will allow to understand how to write about data analysis methods and how to see/read the results of those methods applied to the data.
Reading:
[1] DANIEL, WW; Cross, CL. Biostatistics: A Foundation for Analysis in the Health Sciences, 10th ed., John Wiley and Sons, 2013. [2] DAWSON, B; Trapp, RG. Basic & Clinical Biostatistics, 4th ed., McGraw-Hill, 2004. [DAWSON, B; Trapp, RG. Bioestatística Básica e Clínica, 3ª ed., McGraw-Hill, 2003.] [3] Gouveia de Oliveira, A. Bioestatística Descodificada. 2ª edição, LIDEL, 2014.