Universitat Internacional de Catalunya
Biostatistics 1
Other languages of instruction: English, Spanish
Teaching staff
Adrián González
agonzalezm@uic.es
Introduction
In Health Sciences, researchers study phenomena affected by variability. Clinical observation and the search for responses create the necessity to measure, order and systematize data to subsequently apply laws and extrapolate the obtained results to the study population, thus drawing conclusions for better clinical practice. Biostatistics is the science, that with scientific rigor, gives us the quantitative tools to reach this goal. Besides, it is necessary to perform analyses and critical readings of scientific literature and to promote clinical practices based on scientific evidence.
Objectives
- To know the most frequent basic statistical concepts and methods in Health Sciences and their applications.
- To qualify the student to carry out the basic biostatistical analyses with statistical software.
- To qualify the student to critically appraise scientific articles.
Competences/Learning outcomes of the degree programme
- CN01M - Identify health problems in the field of emergencies and health emergencies that can be investigated.
- CN04M - Identify the quantitative and qualitative tools and methods necessary for the design and development of a research study in the clinical field of emergencies.
- CP02M - Communicate clinical findings, health outcomes and/or research project in new, specialized and non-specialized settings clearly and unambiguously.
- HB03M - Demostrar iniciativa y proactividad por parte del alumnado de manera autònoma y autodirigida en el proceso de aprendizaje mediante la capacidad de investigar, analizar información, sintetizar conocimientos y resolver problemas
- HB05M - Demonstrate the use of tools related to information and communication technologies and their application to specific fields of knowledge
Learning outcomes of the subject
The student will be able to:
- Use tools to critically evaluate projects, protocols and research articles, both qualitative and quantitative, in the field of health sciences.
- To design an advanced research project on clinical aspects following ethical standards and scientific rigor and respecting the fundamental rights of equality between men and women, and the promotion of human rights and the values of a culture of peace and democratic values, using a language that avoids androcentrism and stereotypes.
- Identify health problems that can be investigated.
Syllabus
Unit 1. Introduction to biostatistics
- Types of variables
- Sample and population
Unit 2. Descriptive statistics
Unidimensional descriptive statistics
- Frequency tables
- Measures of central tendency
- Measures of dispersion
- Measures of position
- Measures of shape
Graphical representation of data
Bidimensional descriptive statistics
- Contingency tables
- Correlation and introduction to regression
Block 3. Statistical inference
- Point estimate and confidence intervals
- Hypothesis testing
- Inference for one variable
- Inference for two variables
Teaching and learning activities
Online
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Master classes: online adaptation (CT) (CP) |
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Individual tutorials |
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Group tutorials |
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Autonomous learning: online adaptation (ML) |
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Case Method: Online Adaptation (EC) |
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Cooperative learning: online adaptation (RP) |
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Project-based methodology: online adaptation (PBL) |
Evaluation systems and criteria
Online
|
Evaluation systems |
|||||
|
1 |
Continuous assessment: online adaptation (GP) |
Minimum weighting |
10% |
Maximum weighting |
20% |
|
2 |
Written work: online adaptation (PT) |
Minimum weighting |
40% |
Maximum weighting |
60% |
|
3 |
Oral presentation: online adaptation (GP) |
Minimum weighting |
10% |
Maximum weighting |
20% |
|
4 |
Written tests: online adaptation (OM) (PA) |
Minimum weighting |
25% |
Maximum weighting |
40% |
Bibliography and resources
Campbell MJ, Machin D, Walters S. Medical Statistics: A Textbook for the Health Sciences, 4th Edition. John Wiley & Sons; 2007.
Katz MH. Study design and statistical analysis. A practical guide to clinicians. Cambridge University Press; 2006.
Martínez-González MA, Sánchez-Villegas A, Faulín Fajardo FJ. Bioestadística amigable (2ª ED). Díaz de Santos. Madrid; 2006.
Navarro Giné A, Martín Mateo M. Uso profesional del SPSS. Universidad Autónoma de Barcelona; 2002.
Peacok J, Kerry S. Presenting medical statistics from proposal to publication. Oxford University Press; 2007.
Peat J, Barton B, Elliott E.Statistics workbook for evidence-based health care. August. Wiley-Blackwell BMJ Books; 2008.
Peña D. Fundamentos en Estadística. 1 ed. Alianza Editorial, S.A.: Madrid; 2001.
Prieto Valiente L, Herranz Tejedor I. ¿Qué significa estadísticamente significativo? 1 ed. Ediciones Díaz de Santos, S.A.: Madrid; 2005.
Piédrola Gil, et al. Medicina Preventiva y Salud Pública. 10ª Edición. Barcelona: Masson S.A.; 2001.