Università degli Studi di Urbino Carlo Bo / Portale Web di Ateneo


MEDICAL STATISTICS WITH FOUNDATIONS OF MATH
STATISTICA MEDICA CON ELEMENTI DI MATEMATICA

A.Y. Credits
2015/2016 6
Lecturer Email Office hours for students
Marco Bruno Luigi Rocchi

Assigned to the Degree Course

Pharmacy (LM-13)
Date Time Classroom / Location

Learning Objectives

The objective of this course is to allow a correct choice of statistical tools both in descriptive statistics and in inferential one, and to provide the bases of elementary mathematical methods, useful in biomedical applications.

Program

1. Descriptive Statistics

1.1 Population, sample, sampling

1.2 Variables and their classification

1.3 Means (arithmetic mean, median, mode)

1.4 Indexes of variability (range, variance, standard deviation, coefficient of variation)

1.5 Correlation and regressions


2. Inferential Statistics

2.1 General principles

2.2 Statistical distributions: Gaussian Normal, Standardized Gaussian Normal, Sample mean distribution, Student's t distribution

2.3 Significance Test: z-test, t-test

2.4 Confidence Intervals for means and proportions


3. Statistical topics in phase III Protocol

3.1 Protocols

3.2 Experimental design (between patients, within patients, factorial)

3.3 Randomization techniques

3.4 Sample size

3.5 Ad interim analyses

Mathematics

1. Fuctions

1.1 General priciples

1.2 Range

1.3 Limits

1.4 Derivatives

1.5 Function study

2. Integration

2.1 Properties of the integers

2.2 Kinds of Integers

2.3 Integration methods

Learning Achievements (Dublin Descriptors)

In relation to Statistics and Mathematics, the student should show possession of:  - the mastery of basic skills;  - the understanding of the fundamental concepts of the discipline  - the ability to use knowledge and concepts to reason according to the logic of the discipline.

Teaching Material

The teaching material prepared by the lecturer in addition to recommended textbooks (such as for instance slides, lecture notes, exercises, bibliography) and communications from the lecturer specific to the course can be found inside the Moodle platform › blended.uniurb.it

« back Last update: 12/05/2016

Il tuo feedback è importante

Raccontaci la tua esperienza e aiutaci a migliorare questa pagina.

Posta elettronica certificata

amministrazione@uniurb.legalmail.it

Social

Università degli Studi di Urbino Carlo Bo
Via Aurelio Saffi, 2 – 61029 Urbino PU – IT
Partita IVA 00448830414 – Codice Fiscale 82002850418
2024 © Tutti i diritti sono riservati

Top