Subject

Biostatistics

  • code 13479
  • course 2
  • term Semester 2
  • type FB
  • credits 6

Matter: PHYSICS AND STATISTICS

Main language of instruction: Spanish

Other languages of instruction: Catalan, English

Teaching staff

Introduction

This subject is oriented to prepare the students with the necessary tools to critically analyze research papers, which can be of interest in the field of biomedical sciences, published in scientific magazines. As well as, provide to the students instruments so that they can elaborate and carry out projects of investigation.

 

The methodology employed in this subject will consist in theoretical presentations (30%) and methods of the case and practical in laboratory with computer (70%).

Pre-course requirements

No  previous criteria are needed to take this subject.

Objectives

• Understand the concepts and basic statistical and epidemiological methods in health sciences

• To enable the student to perform basic biostatistical techniques with a computer software specific for biostatistics.

• To train students for critical reading of scientific articles.

Competences / Learning outcomes of the degree programme

General skills

- Teamwork and responsibility.

- Ability to adapt and decision making.

 

Specific skills

- Acquisition of skills for the critical reading of the scientific literature.

- Train students to be able to formulate research hypothesis and evaluate scientific information.

 - Basic training to develop research projects and presentations of scientific results at conferences.

Syllabus

Block 1: Introduction to research

Introduction to research

Research in Medicine and Health Sciences

Statistical method

Types and description of variable

 

Block 2: Descriptive statistics   

Univariate descriptive statistics:

Frequency distribution

Central tendency measures

            Dispersion measures

            Position measures

            Graphic representation

            Shape measures

 

Bivariate descriptive statistics:

Joint frequency distributions

            Marginal frequencies

            Conditional frequencies

            Association & dependency measures

            Regression line

 

Block 3: Statistical inference

 

Statistical inference (I):

Basic concepts of probability

Statistical Sampling

Introduction to the inference

 

Univariate statistical inference (II):

Point stimation

Confidence intervals

Hypothesis testing

 

Bivariate statistical inference (II):

Difference of two proportions

Differentiates of two means

Correlation and regression line

 

Block 4: Epidemiology

Introduction to Epidemiology

Types of studies:

            Experimental: clinical trial and quasi-experimental  

Observational: descriptive, cross-sectional and analytics (case-control and cohort)

Measures of frequency:

Types of measures

Types of rates

Prevalence and incidence

Measures of association:

Relative Risk

Odds Ratio

Prevalence Ratio

Quality of the measures:

Internal and external validity

Types of bias

Evaluation systems and criteria

In person

A mixed evaluation, that will have three components:

 

1. Continuous assessment of the student (20%) based on the following criteria:

• Works of the distinct methods of the case (10%)

• Computer practicums (10%)

2. Evaluation by means of midterm test (30%)

3. Evaluation by means of a theoretical examination type test (50%).

 

To pass the course the student has to obtain an average score of 5, with a minimum score of 4 in each one of the three components.

 

Students who fail the course in the ordinary announcement will have an extraordinary announcement in the month of July that will consist in a practical examination (30% of the note) and a theoretical examination type test (70% of the note). The students that have pass any of the parts (practical examination and theoretical) will conserve the score for the extraordinary announcement.

Bibliography and resources

Basic bibliography

 

Martínez-González MA, Sánchez-Villegas A, Faulín Fajardo FJ. Bioestadística amigable (2ª ED). Díaz de Santos. Madrid; 2006.

 

Gordis L. Epidemiología. 3a edición. Ediciones Hancourt S.A., 2005.

 

Szklo M, Nieto J. Epidemiología intermedia: Conceptos y Aplicaciones. Díaz de Santos; 2003.

 

Argimon Pallás JM, Jiménez Villa J. Métodos de investigación clínica y epidemiológica. 3 ed. Elsevier España S.A.: Madrid; 2004.

 

Complementary bibliography

 

Peña D. Fundamentos en Estadística. 1 ed. Alianza Editorial, S.A.: Madrid; 2001.

 

Rotman K. Epidemiología moderna. 1 ed. Ediciones Díaz de Santos, S.A.: Madrid; 1986.

 

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.

Evaluation period

E: exam date | R: revision date | 1: first session | 2: second session:

  • E1 25/05/2020 16:00h
  • E2 22/06/2020 11:00h
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