Biostatistics 1
Matter: Dessign tools and projects Physiotherapy Evidence based
Main language of instruction: Catalan
Other languages of instruction: Spanish
Sem.2 | MO | 10:00 15:00 | ||
Sem.2 | WE | 10:00 12:00 |
Head instructor
Office hours
To speak with the professor personally, appointments should be made by e-mail to Montserrat Girabent, PhD (girabent@uic.es)
The practice of the physiotherapist often implies "value" and as a result, we have data, both of the evaluations, and the characteristics of the individual. These are the factors we think are associated with the diagnosis we are looking for. Our interest is, therefore, to extract information from these records in order to use them and to find connections between the characteristics and what we are assessing. This way, we can look for more evidence and continually improve in our practice as physiotherapists. This is why knowing the bases of Biostatistics is a must in order to analyze clinical data, and to make a comprehensive report of scientific evidence about our profession.
Not specified
The main objective of this course is to provide the knowledge necessary to understand the statistics as a tool to be use in the field of health sciences; and specifically in physiotherapy.
More specifically, it is intended that students are able to understand and apply the statistical concepts and methods, as well as to interpret and present the results from the use of this discipline. This will also allow them to address any scientific publication of their area of expertise using critical thinking, contributing to the promotion of professional practice based on scientific evidence.
As a complementary objective, it is intended that students acquire basic skills that allow them to make efficient use of statistical software
After completing the course the student will be able to:
Unit 1. Introductión. Definition of Statistics. Statistics in the Health Sciences.
Definition of:
a. Population, sample, representative sample, sample selection.
b. Random variables and measurement scales.
Unit 2. Descriptive statistics:
a. Frequency measures, contingency tables and epidemiological and diagnostic measures.
b. Graphic representation I
c. Measures of central tendency and dispersion
d. Position and dispersion rates.
e. Symmetry and form rates
f. Graphic representation II
Unit 3. Inferential statistics
a. Hypothesis test concept. Types of errors and statistical power. P-value concept. Concept of unilateral and bilateral test. Confidence intervals. Statistical significance and clinical relevance.
b. Confidence intervals and statistical tests for a sample
c. Parametric and nonparametric test for comparing two samples
d. Parametric and nonparametric test for comparison of more than two samples
e. Correlation and Linear Regression
TRAINING ACTIVITY | METHODOLOGY | COMPETENCES | ECTS CREDITS |
---|---|---|---|
lectures | learning based upon problema-solving oral presentation / master class | 29 29.1 37 55 | 0.48 |
self-learning activities | apprenticeship contract problem-solving exercises | 01 02 05 06 07 10 14 15 29 29.1 | 0.2 |
practical | cooperative learning case method problem-solving exercises | 01 02 05 06 07 10 14 15 29 29.1 55 | 0.32 |
student's independant work-study | 02 10 14 15 29 29.1 | 2.40 | |
theoretical and practical workshops | learning based upon problema-solving case method problem-solving exercises | 02 10 14 15 28 28.1 28.2 29 29.1 30 30.1 37 55 | 0.4 |
tutorials | learning based upon problema-solving cooperative learning | 01 02 05 06 07 09 14 15 28 28.1 29 29.1 30.1 | 0.2 |
Evaluation of the subject will be through the activities undertaken in practical classes. Attendance to 80% of classes is necessary to be evaluated.
The grade of the practical part will mean 30% of the final grade. In addition, there will be a multiple-choice test at the end of the semester, if the student has achieved the proposed learning results, this exam will mean 70% of the final grade.
In order to pass the subject, students must obtain a minimum of 5 in each of the parts, otherwise the subject will be failed and they will be able to choose to do a resit.
The resit of the course consists of a final exam that will represent 100% of the final grade. This will have the same characteristics as the previous final exam
E: exam date | R: revision date | 1: first session | 2: second session: