Guías Docentes Electrónicas
1. General information
Course:
STATISTIC IN HEALTHCARE SCIENCES
Code:
32509
Type:
CORE COURSE
ECTS credits:
6
Degree:
399 - PODIATRY DEGREE
Academic year:
2021-22
Center:
16 - FACULTY OF SCIENCES OF THE HEALTH OF TALAVERA
Group(s):
60 
Year:
1
Duration:
C2
Main language:
Spanish
Second language:
English
Use of additional languages:
English Friendly:
Y
Web site:
Bilingual:
N
Lecturer: IRIANA GALAN ARRIERO - Group(s): 60 
Building/Office
Department
Phone number
Email
Office hours
Facultad de Ciencias de la Salud Despacho 2.8
CIENCIAS MÉDICAS
925 721 010 Ext.5669
Iriana.Galan@uclm.es
Wednesday and thursday form 10:00 to 13.00 H. Make an appoinment by email.

2. Pre-Requisites

It has not been established previous requirements

3. Justification in the curriculum, relation to other subjects and to the profession
Statistics is one of the basic training subjects, which provides the necessary tools to start the student in the scientific method applied to the professional activity of podiatry.

Relationship with other subjects: It is important that the student understands the need to use statistical concepts and results to successfully approach and follow other disciplines of the Curriculum. Frequently, the resolution and interpretation of different problems of different kinds, require an approach, an analysis and the possible search for a solution in statistical terms. The knowledge of this subject is mainly related to Microbiology and Public Health, being a great tool for preparing the Final Degree Project.

Statistics have a broadly instrumental profile in this degree. As a result of learning you will be able to acquire a series of skills in the use of information and communication technologies, use of the appropriate language orally and in writing that favors communication with the user and with peers, understanding of the scientific method and knowledge of the principles of health research. It is important to highlight that the use of mathematical language, as it is a logical language, allows the student's reasoning ability to be developed and thus prevents them from only seeking to apply a protocol.

4. Degree competences achieved in this course
Course competences
Code Description
CB01 Prove that they have acquired and understood knowledge in a subject area that derives from general secondary education and is appropriate to a level based on advanced course books, and includes updated and cutting-edge aspects of their field of knowledge.
CB02 Apply their knowledge to their job or vocation in a professional manner and show that they have the competences to construct and justify arguments and solve problems within their subject area.
CB03 Be able to gather and process relevant information (usually within their subject area) to give opinions, including reflections on relevant social, scientific or ethical issues.
CB04 Transmit information, ideas, problems and solutions for both specialist and non-specialist audiences.
CB05 Have developed the necessary learning abilities to carry on studying autonomously
CE12 Know, critically assess and know how to use biomedical information technologies and sources, to obtain, organize, interpret and communicate scientific and health information. Know the basic concepts of biostatistics and its application. Use the search and retrieval systems of biomedical information and understand and interpret scientific texts critically. Know the principles of the scientific method, biomedical research and clinical trial.
CE58 Use documentation elements, statistics, informatics and general methods of epidemiological analysis.
CT02 Use correct oral and written communication.
GC09 Critically evaluate the terminology, clinical trials and methodology used in research related to Podiatry.
5. Objectives or Learning Outcomes
Course learning outcomes
Description
Determination of the dependence and independence of qualitative and quantitative variables.
Demonstrate skills in the use of information technologies and communication .
Application of the above concepts in the different proposed studies.
Interpretation of tests to contrast hypothesis .
Knowledge the principles of research in health sciences
Accept responsibility for their own learning and professional development, using assessment as a means of reflecting and improving their performance.
Work and communicate effectively with all team members.
Estimation of statistics, parameters and probability.
Identification and resolution in a statistical problem of: variables, data, population, sample, tables and graphs.
Understand the scientific method.
Additional outcomes
Not established.
6. Units / Contents
  • Unit 1: Introduction to statistics. Principles of the scientific method and biomedical research.
  • Unit 2: Descriptive statistics: types of variables, frequency distribution, graphic representations, summary measures.
  • Unit 3: Probability. Probability distributions. Random variables.
  • Unit 4: Statistical inference: types of sampling, point estimation and confidence intervals.
  • Unit 5: Hypothesis tests. Comparison of proportions and comparison of means between two groups.
  • Unit 6: Association and independence of qualitative variables. Chi-square statistic.
  • Unit 7: Relationship between quantitative variables. Correlation and Regression.
  • Unit 8: Epidemiological studies. Observational and experimental designs.
ADDITIONAL COMMENTS, REMARKS

At the beginning of the course there will be an informative class to present the teaching guide of the subject.


7. Activities, Units/Modules and Methodology
Training Activity Methodology Related Competences ECTS Hours As Com Description
Class Attendance (theory) [ON-SITE] Lectures CB01 CB02 CB03 CB04 CB05 CE12 CE58 CT02 GC09 1.2 30 Y N Evaluation consist in a final test
Workshops or seminars [ON-SITE] Combination of methods CB01 CB02 CB03 CB04 CB05 CE12 CE58 CT02 GC09 1.04 26 Y Y Portfolio with the activities carried out during the seminars. Recoverable
Final test [ON-SITE] Assessment tests CB01 CB02 CB03 CB04 CB05 CE12 CE58 CT02 GC09 0.16 4 Y Y Final test has two parts: Test (60%) and exercises (40%). Mark will be calculated as follows: [(Correct Answers-(wrong answers/2))/Number of questions))]x0.6 +(Exercises marks)x0,4. Is neccesary getting a minimum of 4 in each part to pass the exam. Recoverable
Writing of reports or projects [OFF-SITE] Self-study CB01 CB02 CB03 CB04 CB05 CE12 CE58 CT02 GC09 0.8 20 Y N Portfolio with the activities carried out during the seminars. Recoverable
Study and Exam Preparation [OFF-SITE] Self-study CB01 CB02 CB03 CB04 CB05 CE12 CE58 CT02 GC09 2.8 70 Y N Assessed by the final test
Total: 6 150
Total credits of in-class work: 2.4 Total class time hours: 60
Total credits of out of class work: 3.6 Total hours of out of class work: 90

As: Assessable training activity
Com: Training activity of compulsory overcoming (It will be essential to overcome both continuous and non-continuous assessment).

8. Evaluation criteria and Grading System
Evaluation System Continuous assessment Non-continuous evaluation * Description
Final test 70.00% 70.00% inal test has two parts: Test (60%) and exercises (40%). Mark will be calculated as follows: [(Correct Answers-(wrong answers/2))/Number of questions))]x0.6 +(Exercises marks)x0,4. Is neccesary getting a minimum of 4 in each part to pass the exam.
Assessment of activities done in the computer labs 30.00% 30.00% Elaboration of a portfolio with the activities proposed in the workshops
Total: 100.00% 100.00%  
According to art. 6 of the UCLM Student Evaluation Regulations, it must be provided to students who cannot regularly attend face-to-face training activities the passing of the subject, having the right (art. 13.2) to be globally graded, in 2 annual calls per subject , an ordinary and an extraordinary one (evaluating 100% of the competences).

Evaluation criteria for the final exam:
  • Continuous assessment:
    The current rating system will be applied; currently, presently UCLM student evaluation regulations, approved on May 28, 2014.
    The global punctuation will be made by making a weighted average of all the evaluable activities. However, the students must achieve a score of 40% in the final test, to add up all the califications. Attendance at seminars and practices is mandatory.
  • Non-continuous evaluation:
    Students who opt for this evaluation system will take a final test, a practical exam and a proof with the statistics software where it will be assessed that the student has reached all the competences of the subject.
    The calculation of the global mark will be made by making a weighted average of the evaluable activities, however, the students must achieve a score of 40% in each of them.

Specifications for the resit/retake exam:
The same criteria will be followed as in the ordinary convocatory, both continuous and non-continuous evaluation.
The assessment of the assay and of the practices, which have been passed by the student who chooses continuous evaluation, will be kept, up to a maximum of two academic courses from the current course, considering that the practical activities are not modified.
Specifications for the second resit / retake exam:
The same criteria will be applied as in the ordinary convocatory, both continuous and non-continuous evaluation.
9. Assignments, course calendar and important dates
Not related to the syllabus/contents
Hours hours

General comments about the planning: The temporal distribution of the different training activities during the course will be adapted to the needs of the students and may vary depending on the degree of achievement by criteria of the teachers. The official academic calendar will be followed.
10. Bibliography and Sources
Author(s) Title Book/Journal Citv Publishing house ISBN Year Description Link Catálogo biblioteca
Alvarez Cáceres, R Estadística aplicada a las ciencias de la salud Díaz de Santos 9788479788230 2007  
Erik Cobo, Pilar Muñoz, Sebastià Videla Bioestadística para no estadísticos. Elsevier 9788445817827 2007  
Martín Andrés A, Luna del Castillo JD, Bioestadística+ para las ciencias de la Salud Norma-Capitel 9788484510185 2004  
Martínez González MA, Sánchez Villegas A, Faulín Fajardo FJ Bioestadística Amigable 3ª Ed. Díaz de Santos 9788490225004 2014  



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