Teaching GuideTerm Faculty of Health Sciences |
Máster Universitario en Asistencia e Investigación Sanitaria (a distancia) |
Subjects |
Modelos Estatísticos para a Investigación Clínica |
Contents |
Identifying Data | 2023/24 | |||||||||||||
Subject | Modelos Estatísticos para a Investigación Clínica | Code | 653862328d | |||||||||||
Study programme |
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Descriptors | Cycle | Period | Year | Type | Credits | |||||||||
Official Master's Degree | 1st four-month period |
First | Optional | 6 | ||||||||||
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Topic | Sub-topic |
Unit 1. Computation of sample size in biomedical studies |
1.1. Main concepts of sampling. 1.2. Computation of sample size in Health Science studies: parameter estimation, hypothesis testing, case-control studies, cohort studies. 1.3. Aplication of epidemiological software for the omputation of sample size in biomedical studies. 1.4. Interpretation in practice of the results in the data analysis. |
Unit 2. Linear models |
2.1. Simple and multiple linear regression models 2.2. ANOVA model and nonparametric alternatives 2.3. ANCOVA model. 2.4. Models for repeated measures. 2.5. Logistic regression model. 2.6. Identification of the appropriate linear model for different case studies. 2.7. Application and validadion of the linear models using statistical software. 2.8. Interpretation in practice of the results in the data analysis. |
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