Universitat Internacional de Catalunya - Barcelona

Biostatistics 1

• code 12184
• course 1
• term Semester 2
• type OB
• credits 3

Main language of instruction: Catalan

Other languages of instruction: English, Spanish

Head instructor

Dr. Xavier SOLE - xsole@uic.es

Office hours

Responsible:

• PhD. Jose M Martínez-Sánchez (jmmartinez@uic.es)
• PhD.Isabel Tora Rocamora(itora@uic.es)

Teachers:

• Juan Carlos Martín Sánchez (jcmartin@uic.es)

This subject is guided to training the students with the necessary bioestatisics tools to critically assess the methodology of the research articles in Health Sciences. As well as, provide students biostatistics techniques so they can develop and carry out research projects in Health Sciences.

The methodology used in this subject will consist of theoretical presentations (30%) and case methods and computer practice (70%).

No prerequisites are required to take the subject.

• Known the statistical concepts and methods in health sciences.
• Qualify the student to the basic techniques of biostatistics with statistical software.
• Qualify the student for critical reading of the methodology of scientific articles.

• CE1 - To know how to apply scientific methods, experimental design and biostatistics to answer a question or corroborate a hypothesis in a clinical setting.
• CE6 - To know how to describe and apply the most common techniques for exploring and analysing data, the relationship between variables or categories and/or corroborating hypotheses in both quantitative and qualitative research.
• CE9 - To know how to apply specific theoretical and practical knowledge to health science research.
• CG2 - The ability to critically analyse and discuss research results and transmit the relevant outcomes.

Students will be able to determine the statistical methods needed to answer scientific questions arising when conducting a research study. They will learn to formulate statistical hypotheses from a scientific question and answer from a statistical standpoint. The students will develop skills to read critically the statistical methodology and the results of a scientific article Finally, the student will be familiar with the use of statistical software that allows you to perform the analysis of the data generated in your research.

Block 1. Introduction to biostatistics

• Types of variables
• Sample and population

Block 2. Descriptive statistics

Unidimensional descriptive statistics

• Measures of central tendency
• Measures of dispersion
• Measures of position
• Graphical representation
• Measures of shape

Bidimensional descriptive statistics

• Join frequency distribution
• Marginal distribution
• Conditional distribution
• Measures of dependence or association

Block 3. Statistical inference

• Point estimate
• Confidence intervals
• Hypothesis testing (types of errors, unilateral and bilateral test, power of the test, etc.)

• Nomality
• Test for a proportion
• Test for a mean
• Test for a two means
• Test for a two proportions
• Parametric and nonparametric test

The methodology used in this subject will consist of theoretical presentations (30%) and case methods and computer practice (70%).

It will be carried a mixed evaluation which will have three components:

1. Continuous evaluation of students (20%) base on the following criteria:

• Assistance to the theorical sessions, case methods and laboratory practices.
• Participation in the methods of the case and laboratory practice.
• Oral and written communication of the results.

2. Evaluation of different works of the subject (50%):

• Works of different methods of case (25%)
• Laboratories practices (25%)

3. Multiple choice final exam (30%)

To pass the course the student must obtain a minimum score of 4 ineach of the three components of the evaluation of the subject, and of 5 in the average.

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.