39272 - Medical Statistics Workshop

Course contents

PROGRAM OF MEDICAL STATISTICS
Dr. Marina Ardizzoni
1) Medical Statistics
Introduction:
Biological variability
Descriptive statistics:
font definitions, and statistical sample universe.
• Descriptive statistics and inferential statistics; sample characteristics (representativeness; abundance); random selection (random number tables).
• Scale measurement (nominal, ordinal, numeric).
• Frequency distributions; number of classes; frequency density; cumulative frequency; percentiles.
• Graphical representations.
Summary indicators:
• Indicators of central tendency (arithmetic mean, mode and median), indices of variability (range, deviance, variance, standard deviation); indices of shape of the distribution.
Elements of probability:
• Definition and first laws of probability
• Conditional probability and independent
• Bayes theorem and its applications
• discrete random variables: distribution Bernoulli, binomial and Poisson
• Continuous random variables: the exponential and normal density
Elements of statistical inference
• The logical inference
• Problems estimate
• The statistical model: parameters and estimators
• Estimate the expected value for a normal model: sampling distribution of the mean
• Confidence Interval
• Null hypothesis and alternative; "P-value"
• Examples and exercises
• Statistics tests comparing (outline nonparametric tests)
Outline of:
Contingency tables; Epidemiology
2) Basics of Computer
Basics:
• Binary representation of numbers and characters.
• Software and hardware
• Input Devices. Output Devices.
• The operating system.

Application:
• Word processing programs (Word)
• The spreadsheet (Excel).
• PowerPoint
• Basics of management and creation Data Base

Readings/Bibliography

Fondamenti di Statistica per le discipline biomediche

Marc M Triola, MD; Mario F Triola

Ed. PEARSON

Office hours

See the website of Marina Ardizzoni