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FISICA APPLICATA STATISTICA MEDICA ED INFORMATICA

Teaching Staff

ALESSANDRO RIDOLFO - Module FISICA APPLICATA - FIS/07 - 5 CFU
MASSIMO COSTANZO - Module STATISTICS - MED/01 - 3 CFU
MARIO MASSIMILIANO SALFI - Module INFORMATICA - INF/01 - 3 CFU

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Learning Objectives

• STATISTICS
  

  Method of teaching course:
  Lectures, active participation of students through questions, preparation of a questionnaire for data collection and subsequent data collection and exercises.

Course Structure

• STATISTICS
  

  VALUTATION: Writing and oral exam

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Detailed Course Content

• STATISTICS
  

  1.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. Probability 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: Student t test for dependent and independent groups
  16. Contingency tables and chi square test
  17. Brief description of linear correlation and regression
  

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Textbook Information

• STATISTICS
  

  Lantieri, B.L., Risso D., Ravera G. (revisione Lama N., Signoriello G.) (2007). Elementi di Statistica Medica. Milano: McGraw-Hill.
  Chiari, Mosci, Naldi, Evidence based clinical practice - La pratica clinico assistenziale basata su prove di efficacia - McGraw-Hill
  Costanzo M. R, (2019). “Statistica sperimentale per le professioni sanitarie”, Createspace by Amazon

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