Objectives: - Understand different types of data and variables in health sciences research. - Understand different types of data structure and data transformation. - Understand the steps involved in data cleaning to identify implausible values and outliers. - Understand the basic statistical tools needed in data preprocessing.
Learning Objectives: • Identify different types of study designs • Determining ethical and logistic challenges in different designs • Defining the most appropriate design according to study questions • Proposing alternative designs for the same research questions
Learning Objectives 1- Definition and conditions of legal competence 2- Definition and conditions of guardianship 3- Parents as guardians of young children 4- Relatives and spouses as guardians 5- Case scenarios
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