Universitat Internacional de Catalunya

Advanced Biostatistics

Advanced Biostatistics
1
10560
1
Annual
OB
Main language of instruction: English

Other languages of instruction: Catalan, Spanish

Teaching staff


Students are requested to email to arrange a meeting. 

Dr Josep Maria Huguet 

jmhuguet@uic.es 

Introduction

Research is a process that must be integrated into our clinical practice, and its main purpose is to increase scientific knowledge in society in general and among health professionals. To correctly disseminate research findings, data must be carefully collected and analysed.

Pre-course requirements

Basic knowledge of biostatistics is required.

Objectives

To provide training and tools for the students to perform statistical analysis of research and learn how to interpret and communicate their results. 

Competences/Learning outcomes of the degree programme

  • CB10 - Acquire learning skills that allow them to continue studying in a self-directed and autonomous mode.
  • CB6 - Knowledge and understanding to provide a basis or opportunity for originality in developing and / or applying ideas in a research context.
  • CB7 - To apply the acquired knowledge, and develop their ability to solve problems in new environments within broader (or multidisciplinary) contexts related to their field of study.
  • CB8 - Integrate knowledge and deals with the complexity of formulate judgments based on scientific evidence, from information that may be incomplete or limited, include reflecting on social and ethical responsibilities linked to the application of their knowledge and judgments.
  • CE1 - Ability to apply the scientific method, the experimental design and the biostatistics to solve a problem or corroborate hypothesis.
  • CE3 - Ability to apply bioinformatics tools used in basic research.
  • CG1 - Ability to integrate new knowledge through research and study, and deal with complexity
  • CG2 - Ability to review analysis and discussion of the experimental results and to issue the corresponding conclusions.
  • CT1 - Ability to work in multidisciplinary and multicultural groups

Learning outcomes of the subject

  • The student understands and interprets the fundamental and specific concepts of biostatistics related to research in dentistry.
  • The student knows how to use statistical tools properly in order to complete the analysis of their research data.
  • The student uses specific computing tools to search literature.

Syllabus





Teaching and learning activities

Online



Learning activities: SEM (0.5 ECTS), TUT (0.5 ECTS)

Teaching activities: CM, MC, TRB

Evaluation systems and criteria

Online



Case study work: 100%

Bibliography and resources

  1. Cobo E, Muñoz P, González JA, Bogorra J. Bioestadística para no estadísticos: principios para interpretar un estudio científico. Barcelona: Elsevier Masson;2007.  
  2. Daniel W. Bioestadística: base para el anàlisis de las ciencias de la salud. Mèxic, D.F[etc.]: Limusa;1995.  
  3. Gonick L, Smith W. La estadística en cómic. Zendrera Zariquiey: Barcelona;2002.
  4. Martin A, Luna J. Bioestadística para ciencias de la salut. Madrid: Norma;1994.  
  5. Paedell H, Cobo E, Canela J. Manual de bioestadística. Barcelona: Hill;1986  
  6. Sentís J, Pardell H, Alentà H, Cobo Valeri E, Canela i Soler J. Manual de bioestadística. 3 ª ed. Barcelona: Masson;2003.
  7. Solanas A. Estadística descriptiva en ciencias del comportamiento. Madrid: Thomson; cop. 2005.  
  8. Wonnacott TH, Wonnacott RJ. Introducción a la estadística. 2a ed. Mèxic: Limusa; 2006.