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HEALTH STATISTICS

CODE 67467
ACADEMIC YEAR 2022/2023
CREDITS
  • 3 cfu during the 4th year of 8745 MEDICINA E CHIRURGIA(LM-41) - GENOVA
  • SCIENTIFIC DISCIPLINARY SECTOR MED/01
    LANGUAGE Italian
    TEACHING LOCATION
  • GENOVA
  • SEMESTER 2° Semester
    MODULES This unit is a module of:
    TEACHING MATERIALS AULAWEB

    OVERVIEW

    The medical statistics course introduces the methodology of clinical research. The core topic of the course will focus on clinical trials and evidence-based medicine. Students will be introduced into the world of scientific articles, able to understand the results of clinical trials and to interpret the statistical terminology that accompanies them. The aim of the course is to give a glimpse of the research world and provide the tools for accessing it.

    AIMS AND CONTENT

    LEARNING OUTCOMES

    The variability of biological, clinical, laboratory, social and environmental. Measurement error.
    
    Statistical nature of the observations.
    
    Frequencies absolute, relative, percentage.
    
    Collection, organization and representation of data.
    
    Synthesis of data: indices of central tendency (medium analytical and location, quantiles) and dispersion indices.
    
    Overview of probability theory: conditional probabilities and independence criterion, the principles of the sum and product.
    
    Probability distributions: Gaussian distribution.
    
    General aspects of statistical inference: population and sample. Confidence intervals of averages and percentages.
    
    Statistical evaluations in the classification of a diagnostic test.

    AIMS AND LEARNING OUTCOMES

    The course aims to convey to the student the following capabilities:
    
    reading and understanding of the maximum results of the scientific literature, with particular reference to controlled clinical trials.
    
    Knowing the process of publication of scientific articles
    
    Understanding the meaning of the statistical tests in the scientific  works 
    
    Understanding the meaning of the diagnostic test characteristics
    
    Knowing how to interpret the results of a meta-analysis

    TEACHING METHODS

    The lesson is divided into 32 hours of training activities, including 28 hours of classroom lessons on all subjects in the program and 4 hours of practical exercises with reading of scientific articles, research presentations and seminars. All that is presented in the classroom will be subject to examination.

    SYLLABUS/CONTENT

    Scientific articles and EBM.
    
    The randomized clinical trial.
    
    The stages of clinical trials.
    
    The meta analysis.
    
    Effects of treatment effects.
    
    Tst diagnostics and their features.

    RECOMMENDED READING/BIBLIOGRAPHY

    All the lessons (slides / articles) will be put on the Classroom. Lessons will be provided. There is no reference text.

    TEACHERS AND EXAM BOARD

    Exam Board

    CARLO PESCE (President)

    ANGELA TESTI (President)

    FILIPPO ANSALDI

    LINDA BATTISTUZZI

    ANTONELLA LOTTI

    LUISA ALEXIA PIAGGIO

    MARIA PIA SORMANI (President and Coordinator of Integrated Course)

    LESSONS

    LESSONS START

    Lunedi 6 marzo ore 16.

    Class schedule

    All class schedules are posted on the EasyAcademy portal.

    EXAMS

    EXAM DESCRIPTION

    A written exam with open questions

    ASSESSMENT METHODS

    The assessment will be conducted by evaluating the content of the answers, to evaluate if the student has understood the main concepts. Each module will have a scor and the final score will be the weighted mean of the single scores. The wheights are the CFU of each module.

    Exam schedule

    Date Time Location Type Notes
    16/01/2023 14:00 GENOVA Scritto 16/01/2023 h 14 Ex Saiwa aula 8 14/02/2023 h 14 Ex Saiwa aula 8 17/04/2023 h 14 Ex Saiwa aule 1 e 3/4 19/06/2023 h 14 Ex Saiwa aula 3/4 21/07/2023 h 14 Ex Saiwa aula 3/4 29/09/2023 h 14 Ex Saiwa aula 3/4
    14/02/2023 14:00 GENOVA Scritto 16/01/2023 h 14 Ex Saiwa aula 8 14/02/2023 h 14 Ex Saiwa aula 8 17/04/2023 h 14 Ex Saiwa aule 1 e 3/4 19/06/2023 h 14 Ex Saiwa aula 3/4 21/07/2023 h 14 Ex Saiwa aula 3/4 29/09/2023 h 14 Ex Saiwa aula 3/4
    17/04/2023 14:00 GENOVA Scritto 16/01/2023 h 14 Ex Saiwa aula 8 14/02/2023 h 14 Ex Saiwa aula 8 17/04/2023 h 14 Ex Saiwa aule 1 e 3/4 19/06/2023 h 14 Ex Saiwa aula 3/4 21/07/2023 h 14 Ex Saiwa aula 3/4 29/09/2023 h 14 Ex Saiwa aula 3/4
    19/06/2023 14:00 GENOVA Scritto 16/01/2023 h 14 Ex Saiwa aula 8 14/02/2023 h 14 Ex Saiwa aula 8 17/04/2023 h 14 Ex Saiwa aule 1 e 3/4 19/06/2023 h 14 Ex Saiwa aula 3/4 21/07/2023 h 14 Ex Saiwa aula 3/4 29/09/2023 h 14 Ex Saiwa aula 3/4
    21/07/2023 14:00 GENOVA Scritto 16/01/2023 h 14 Ex Saiwa aula 8 14/02/2023 h 14 Ex Saiwa aula 8 17/04/2023 h 14 Ex Saiwa aule 1 e 3/4 19/06/2023 h 14 Ex Saiwa aula 3/4 21/07/2023 h 14 Ex Saiwa aula 3/4 29/09/2023 h 14 Ex Saiwa aula 3/4
    29/09/2023 14:00 GENOVA Scritto 16/01/2023 h 14 Ex Saiwa aula 8 14/02/2023 h 14 Ex Saiwa aula 8 17/04/2023 h 14 Ex Saiwa aule 1 e 3/4 19/06/2023 h 14 Ex Saiwa aula 3/4 21/07/2023 h 14 Ex Saiwa aula 3/4 29/09/2023 h 14 Ex Saiwa aula 3/4