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FISICA APPLICATA STATISTICA MEDICA E INFORMATICA

Teaching Staff

ALESSANDRO RIDOLFO - Module FISICA APPLICATA - FIS/07 - 4 CFU
MASSIMO COSTANZO - Module STATISTICA MEDICA - MED/01 - 3 CFU
MARIO MASSIMILIANO SALFI - Module Computer science - INF/01 - 4 CFU

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Learning Objectives

• Computer science
  

  This course provides the basic theoretical knowledge about the use of a computer, hardware and software, about the applications of informatics in health care settings, as well as providing practical knowledge on the use of an operative system and of the office suite (Word, Excel, Powerpoint, Access).

Course Structure

• Computer science
  

  Theoretical lessons and computer exercises on html, Word, Excel, Powerpoint and Access.

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Detailed Course Content

• STATISTICA MEDICA
  

  .Brief introduction to epistemology of knowledge

  2. Scientific use

  3. Types of measurement scales: nominal, ordinal, interval and ratio scales

  4. Representation of data in graphs and tables

  5. Central indicators, variability indicators, asymmetry and kurtosis

  6. Probability, sum and product principle

  7. Probability application

  8. Diagnostic tests: sensitivity, specificity, predictive values

  9. Relative risk and odds ratio

  10. Probabiloity distributions: binomial, Poisson and normal

  11. Standardized Gaussian curve

  12. Inference: central limit theorem ,sample distribution of the mean and standard error

  13. Confidence interval for the mean and variance

  14. Hypothesis test: null and alternative hypotheses

  15. Significance tests between two groups: Sudent t test for dependent and independent groups

  16. Contingency tables and chi square test

  17. Brief description of linear correlation and regression

  18. Non parametric-tests

  19. Scientific paper

• Computer science
  
  1. Introduction to computer science.
  2. Encoding and representation of information.
  3. Architecture of computer.
  4. The operating system and application software.
  5. Computer networks and the internet.
  6. Introduction to databases.
  7. Elements of medical informatics.
  8. Word processors: Microsoft Word.
  9. Spreadsheets: Microsoft Excel.
  10. Databases: Microsoft Access.
  11. Presentation programs: Microsoft PowerPoint.

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Textbook Information

• STATISTICA MEDICA
  

  Colton T (1991) Statistica Medica. Piccin: Padova. Armitage P, Berry G (1996) Statistica Medica - Metodi statistici per la ricerca in medicina. McGraw-Hill Libri Italia srl: Milano M. R. Costanzo, (2018). “Statistica sperimentale per le professioni sanitarie”, Createspace by Amazon

• Computer science
  

  Teacher’s slides and any ECDL books.

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Open in PDF format Versione in italiano