Make students able to: Organize and summarize biological data; Understand statistical inference using the appropriate methodology; Be familiar with widely used statistical software in data analysis, interpret the results and take technical decisions.
Introduction to Biostatistics and Medical Informatics; organizing and summarizing biological data (measures of central tendency, dispersion and association); probability distributions and estimation (normal distribution, t distribution, confidence interval for a population mean); hypothesis testing (overall procedure); analyse of variance (one-way and multiway classifications, multiple comparisons), linear regression (veterinary applications), the Chi-Square distribution (tests of independence), nonparametric statistics and vital statistics. Practical applications using statistical software.
Theoretical concepts are mainly exposed in theoretical lectures. Practical classes are open with a brief presentation of the protocol to execute. The protocol involves the application of concepts exposed in lectures, using informatic tools and small scale databases. At the end will be presented to the students a self-study protocol, involving large scale databases. The evaluation will be continuous, by conducting three tests (two written tests and a test on the computer) involving the taught program. Final classification is obtained by weighting the various elements of evaluation.
The evaluation on this curricular unit respects the pedagogical regulations established in UTAD. Students must comply the following requirements: a) Be registered in academic services; b) Be registered in SIDE Students can choose one of three evaluation modes:
Mode 1: Continuous evaluation
Mode 2: Continuous evaluation and complementary evaluation
Mode 3: Exam
DANIEL, W. D. Biostatistics: A foundation for analysis in the health sciences.
PETIE, A; WATSON, P. Statistics for Veterinary and Animal Science.
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