Proff. Giuseppe Signoriello, Simona Signoriello, Vittorio Simeon

The lessons will take place according to the following schedule:

May 10, 17, 24, 27 from 2.30 pm to 4.30pm

June 14, 16, 21, 28 from 2.30 pm to 4.30pm

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Statistical methods to report biomedical information:

• How and what information to collect
• Statistical variables (qualitative, quantitative)
• Main errors in measurement: the related concepts of precision and accuracy
• Main approaches for data quality control
• Presentation of data: tables and graphs
• Data synthesis: main descriptive summary measures
• Concepts of population, sample and statistical units

Main statistical methods to infer conclusions from research findings

• Probability and probability distributions
• The Sampling distributions
• The concepts of parameter and estimate
• The principles of statistical inference
• confidence intervals
• Hypothesis tests
• type I and type II errors
• Criteria for choosing the appropriate statistical test

The philosophy of the r software:

• Basic syntax and data structures
• Import and data management
• Summary statistics and graphs
• Statistical inference with R