Menù principale
B020108 - MEDICAL STATISTICS
Main information
Teaching Language
Course Content
Suggested readings
Learning Objectives
Prerequisites
Teaching Methods
Type of Assessment
Course program
Academic Year 2021-22
Coorte 2021 - 3-years First Cycle Degree (DM 270/04) in DIETISTIC
Course year
First year - First Semester
Belonging Department
Biomedical, Experimental and Clinical Sciences "Mario Serio"
Modulo di sola Frequenza of
Scientific Area
MED/01 - MEDICAL STATISTICS
Credits
2
Teaching Hours
24
Teaching Term
27/09/2021 ⇒ 15/01/2022
Attendance required
No
Type of Evaluation
Giudizio Finale
Course Content
show
Course program
show
Lectureship
Mutuality
Course teached as:
B020466 - STATISTICA
3-years First Cycle Degree (DM 270/04) in NEUROPHYSIOPATHOLOGY TECHNIQUES
B020466 - STATISTICA
3-years First Cycle Degree (DM 270/04) in NEUROPHYSIOPATHOLOGY TECHNIQUES
Teaching Language
Italian
Course Content
Probability calculus; Binomial, Gauss distributions.
Measurement: uncertainty and accuracy.
Techniques for presenting and summarizing data.
Statistical definition of evidence; inference, estimator and confidence intervals.
Methods for Evidence Based Medicine
Measurement: uncertainty and accuracy.
Techniques for presenting and summarizing data.
Statistical definition of evidence; inference, estimator and confidence intervals.
Methods for Evidence Based Medicine
Suggested readings (Search our library's catalogue)
Lectures notes.
Handouts on the teaching material website.
Dunn G., Everitt B. (1999) Biostatistica Clinica. Il Pensiero Scientifico editore, Roma
Handouts on the teaching material website.
Dunn G., Everitt B. (1999) Biostatistica Clinica. Il Pensiero Scientifico editore, Roma
Learning Objectives
Basic notions and methods of statistics useful to understand and interpret biological
phenomena;
interpretation of clinical and laboratory findings; evaluation of benefit, risk and cost
of clinical strategies; evaluation of efficacy and effectiveness of therapy (with special
reference to drug evaluation); evaluation of intervention strategies in Preventive
Medicine and Public Health.
phenomena;
interpretation of clinical and laboratory findings; evaluation of benefit, risk and cost
of clinical strategies; evaluation of efficacy and effectiveness of therapy (with special
reference to drug evaluation); evaluation of intervention strategies in Preventive
Medicine and Public Health.
Prerequisites
Basic mathematics
Teaching Methods
Lectures, exercises.
Type of Assessment
Written test, a combination of 3 exercises and multiple-choice questions.
Course program
Probability calculus. Bayes Theorem and Diagnosis. Test sensibility and specificity;
predictive values. Binomial; Gauss distributions. Descriptive statistics.
Interpretation of clinical and laboratory findings.
Variability of clinical measurements. Agreement and reliability.
Random Sampling. Estimators and confidence intervals.
Experimental Designs and Controlled Clinical Trials.
Observational Studies and Etiological research.
predictive values. Binomial; Gauss distributions. Descriptive statistics.
Interpretation of clinical and laboratory findings.
Variability of clinical measurements. Agreement and reliability.
Random Sampling. Estimators and confidence intervals.
Experimental Designs and Controlled Clinical Trials.
Observational Studies and Etiological research.