Physics, statistics and computer science 3

Module Medical statistics

The aim of this course is to introduce the basic concepts of descriptive statistics , to learn and acquire skills in relation to the collection , the description, the interpretation and the use of probability distributions in an appropriate manner of the data collected on a collective of patients or other experimental units.
 

Frontal lessons with the active participation of the students in the resolution of problems, tutorials

Should teaching be carried out in mixed mode or remotely, it may be necessary to introduce changes with respect to previous statements, in line with the programme planned and outlined in the syllabus.

The exam is normally written , consisting of multiple choice tests and/or exercises 
Learning assessment may also be carried out on line, should the conditions require it.

The steps of the statistical survey

Data Types

Experimental Drawings

Series and sequences 

Frequency Distributions

Frequency Distributions double and multiple 

Tables a double entry

Relative Frequencies in tables a double entry

Tables of line profiles, profiles column, total profiles

Statistical Graphs

Statistics for the description, exploration and comparison of the data: Measures of central tendency 

 Measures of variability

The concentration

The mutability

Measures of asymmetry

Statistical Reports

Correlation and Regression

Contingency tables

Probability: Foundations and rules  

Bayes' theorem  

 Binomial distributions

 Central Limit Theorem

Poisson distributions

Gauss distributions

Inferential Statistics

Population and samples

Estimation of the parameters: pointwise and range 

Student's t-test 

Verification of hypotheses for media and frequency  

Triola M. M. e Triola M. (2009), Statistica per le discipline biosanitarie, Pearson Addison Wesley, Milano.

Notes prepared by the teacher