Subject

Biostatistics

  • code 07615
  • course 2
  • term Semester 1
  • type FB
  • credits 6

Module: Medicina social, habilidades de comunicación e iniciación a la investigación

Matter: Salud pública: Bioestadística

Main language of instruction: Spanish

Teaching staff

Head instructor

Dra. Cristina LIDÓN - clidon@uic.es

Office hours

Dr. Cristina Lidón Moyano (clidon@uic.es)

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

Introduction

In the event that the health authorities announce a new period of confinement due to the evolution of the health crisis caused by COVID-19, the teaching staff will promptly communicate how this may effect the teaching methodologies and activities as well as the assessment.

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 (31%) and methods of the case and practical in laboratory with computer (69%).

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.

Competencies

  • 30 - To acquire basic knowledge of the National Healthcare System and general healthcare legislation.
  • 31 - Understand, critically evaluate and know how to use sources of clinical and biomedical information to obtain, organize, interpret and communicate scientific and health care information.
  • 34 - Ability for critical thinking, creativity and constructive skeptisim with a focus on research within professional practice.
  • 36 - Be able to formulate hypotheses, collect and critically evaluate information for problem solving using the scientific method.
  • 37 - Acquire basic training for research.
  • CB-5 - To transmit in a clear and unambiguous way to a specialised or non-specialised audience, the results of scientific and technological research projects and innovation from the field of the most advanced innovation, as well as the most important concepts which they are based on.

Syllabus

Block 1: Introduction to research

Introduction to research

Research in Medicine and Health Sciences

Statistical method

Types and description of variable

 

Block 2: Probability 

Random experiment

Operations with events

Probability

Conditional probability

Total Probabilities Theorem

Bayes theorem

Discrete and continuous random variable

 

Block 3: 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 4: 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:

Difference of two proportions

Differentiates of two means

Correlation and regression line

 

Block 5: Calculation of the sample size and types of sampling

Teaching and learning activities


In blended

The theoretical classes will be held via collaborate, the practices and methods of the case will be face-to-face. If we were to be confined again, we would do all the activities online.

Evaluation systems and criteria


In blended

First call

• Continuous evaluation (20%)
Works of the different methods of the case (5%)
Presentation of scientific results (10%) December 14
Computer practices (5%)

• Practical exam (30%)
Midterm exam (10%) October 23
Final exam (20%) December 18

• Final theoretical exam (50%)

* Deliveries of exercises and exams will generally be carried out via moodle.
* Minimum grade of 5 in each of the parts to make average

 

Second call

• Theoretical exam (70%)
• Practical exam (30%)

* Minimum grade of 5 in each of the parts to make average

Evaluation period

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

  • E1 15/01/2021 11:30h
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