Universitat Internacional de Catalunya
Biostatistics
Biostatistics
3
13891
1
First semester
OB
Main language of instruction: Spanish
Other languages of instruction: Catalan, English
Other languages of instruction: Catalan, English
Teaching staff
Dr. David Blanco
Introduction
Biostatistics provides manual physiotherapists with the ability to understand and apply certain statistical concepts and procedures, as well as to adequately interpret and present the results derived from the use of this discipline. It also allows them to critically approach any scientific publication in their area of knowledge, thus contributing to the promotion of professional practice based on scientific evidence.
Pre-course requirements
No prerequisites are established
Objectives
- Learn basic statistical concepts related to the planning, development, and analysis of research study data
- To rigorously calculate the number of subjects necessary to carry out a randomized clinical trial based on its characteristics.
- Analyze biomedical research data and express the results using an appropriate statistical language.
- Use computer tools for the statistical analysis of biomedical data.
- Prepare scientific reports showing the assimilation of the points described above, as well as a critical and reflective attitude in the analysis, interpretation and discussion of the results of a research study, drawing coherent conclusions.
Competences/Learning outcomes of the degree programme
- CN01 - Identify knowledge that provides a foundation or creates opportunities for originality in the development and/or application of ideas, both in clinical practice and in a research context.
- CN02 - Select the most appropriate tools and techniques of Manual Orthopedic Physiotherapy in terms of reliability, validity, and diagnostic accuracy, allowing for selective tissue stress on different structures, for the assessment and treatment of pain and dysfunction of the musculoskeletal system.
- CP02 - Conduct research in the field of specialization of Orthopedic Manual Physiotherapy.
- CP03 - To effectively communicate their conclusions regarding clinical knowledge and reasoning to both specialized and non-specialized audiences in a clear and unambiguous manner.
- HB03 - Use procedures that ensure confidentiality in the handling and processing of patient/user documentation, complying with ethical, legal, and technical requirements, in accordance with current healthcare regulations.
- HB06 - Demonstrate the ability to engage in independent, in-depth learning, enabling them to continuously improve their clinical practice throughout their careers.
- HB10 - To identify the quantitative and qualitative tools and methods necessary for the design and development of a research study in the field of Orthopedic Manual Therapy.
Learning outcomes of the subject
- MAT05 - 05. Select the statistical technique that is appropriate for the hypothesis and methodology used.
- MAT05 - 07. To use statistical methods appropriately and independently for the planning, development, and analysis of results in a research study.
Syllabus
- Introduction to basic statistical concepts useful in the design and analysis of a randomized clinical trial, such as hypothesis contrast tests, types of error, effect size or confidence intervals.
- Calculation of sample size in randomized clinical trials.
- Analysis and interpretation of data in randomized clinical trials.
- Management of computer tools for the statistical analysis of biomedical data.
- Writing of scientific reports where the key aspects related to the analysis and design of a randomized clinical trial are rigorously shown.
Teaching and learning activities
In person
- CT (Theoretical classes): The teacher is the one who exposes in a systematic and orderly manner the information corresponding to the different subjects and the student has a role mainly as a receiver. The scenario in which the teacher transmits knowledge is the classroom and he does it to the entire group of students. The theoretical class format allows the introduction of group activities in the classroom and the development of strategies that encourage the active participation of students.
- CP (Practical classes): It includes any type of classroom and/or laboratory practice (practices among students, case studies, problems, activities in the computer room, search for information,...)
- MS (Mentoring sessions): Personalized relationship of help, where the teacher-tutor assists, facilitates and guides one or several students in the teaching-learning process. These activities are designed so that the students solve problems on their own with the help of the material provided and the information from the face-to-face activities and/or available in the virtual environment in which the online subjects are developed.
- SLA (Self-learning activities): These activities are designed so that the student solves problems on their own with the help of the material provided and the information from the face-to-face activities and/or available in the virtual environment in which the online subjects are developed.
- SIS (Student independent study): It is a process aimed at the formation of an autonomous student capable of learning to learn; It consists of developing study skills, establishing educational goals and objectives based on the recognition of the weaknesses and strengths of the individual, which will respond to the needs and expectations of each one. It implies the possibility that each student makes their own decisions in relation to the organization of their time and their learning pace, which is why it requires a high degree of responsibility to make the most of resources.Includes study of contents related to "theoretical classes" and "practices" (studying exams, carrying out individual and group theoretical work, library work, complementary reading, etc.).
- MC (Master Class): Transmission of knowledge and activation of cognitive processes in the student.
- CL (Cooperative learning): Development of active and significant learning cooperatively.
- FL (Flipped learning): Systems based on new technologies as basic knowledge tools outside the classroom, so that when students arrive to class they put their ideas and impressions together, giving teachers the opportunity to personalize their instruction according to the needs of each one.
- PBL (Problem-based learning): Development of active learning through problem solving.
Evaluation systems and criteria
In person
The subject will be evaluated based on two practical activities.
In each practical activity, a grade from 0 to 10 will be awarded based on a series of requirements that will be exposed to the students.
In order to pass the subject, it will be necessary to pass each of the practical activities with a grade =/>4 points and that the average grade of these is =/>5 points.
The dates of the tutorials and delivery of practical activities will be the following:
- Tutorial 1: from March 7 to April 1, 2022
- Delivery practical activity 1 (Deliverable 1): April 4 to 10, 2022
- Tutorial 2: from April 18 to May 6, 2022.
- Delivery practical activity 2 (Deliverable 2): May 9 to 15, 2022
The grading system will be used in accordance with current legislation. Actually, according to RD 1.125/2003 del 5 de septiembre.
- 0-4,9 Fail.
- 5,0-6,9 Pass.
- 7,0-8,9 Notable.
- 9,0-10 Outstanding.
The Honor Roll mention may be awarded to students who have obtained a grade equal to or greater than 9.0. Their number may not exceed 5% of the students enrolled in a subject in the corresponding academic year, unless the number of students enrolled is less than 20, in which case a single Honors may be awarded.
Bibliography and resources
- Christley R. M. (2010). Power and Error: Increased Risk of False Positive Results in Underpowered Studies. The Open Epidemiology Journal, 3: 16-19.
- Pye et al. (2016). When is enough, enough? Understanding and solving your sample size problems in health services research. BMC Research Notes, 9:90.
- Cook JA et al. (2018). DELTA guidance on choosing the target difference and undertaking and reporting the sample size calculation for a randomised controlled trial. BMJ, 363:k3750
- Cobo et al. (2007). Bioestadística para no estadísticos. Barcelona: Masson.
- Schulz KF, Altman DG, Moher D, for the CONSORT Group (2010). CONSORT 2010 Statement: updated guidelines for reporting parallel group randomised trials. BMJ ;340:c332.
- Chan A-W et al (2013). SPIRIT 2013 Explanation and Elaboration: Guidance for protocols of clinical trials. BMJ;346:e7586.
- Institut Municipal d'Investigació Mèdica, Barcelona, Spain. Calculadora de Grandària Mostral GRANMO, Versió 7.12 [cited 2021 May 4]. Available from: https://www.imim.cat/ofertadeserveis/software-public/granmo/