Learning objectives
The course of Statistics and Research Methodology is designed to introduce the student to the basics of statistical thinking and its application in practice. The topics are geared to concrete problems of analysis and research and deal in particular with situations and cases drawn from the medical literature.
Starting from the multitude of information from which we are faced daily, the course aims to give students the statistical tools needed to describe and analyze the data, extract useful information and make informed decisions. Special emphasis will be put on statistical reasoning, interpretation and decision-making process. We will insist more on the conceptual understanding that the mechanical calculation, especially in light of the wide range of software available for analysis. The theory will be made explicit by means of practical exercises and teaching cases, therefore, the ultimate goal of the course is that the student learn "how to do" as well as knowing.
Prerequisites
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Course unit content
Medical Statistics
Research Methodology
Computer Laboratory of Statistics
Full programme
Please refer to the contents reported in the individual modules
Bibliography
Please refer to the bibliography indicated in the individual modules
Teaching methods
The course will be held through lectures to Students either in the classroom (“in presenza”) or in synchronous-streaming (“in telepresenza”) on the Teams platform. Therefore, the opportunity of Student/Teacher interaction will be preserved both face to face and remotely, by the simultaneous use of the Teams platform.
Lectures will be supported by slide presentations, which will be available to students on the Elly platform (https://elly.medicina.unipr.it).
Assessment methods and criteria
The exam consists of a written Statistics test, a written English test, a practical computer test for the Computer Statistics laboratory and an oral test for Research Methodology and Scientific English.
Other information
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2030 agenda goals for sustainable development
2030 Agenda Sustainable Development Goals: codes 1; 2; 4
