Delve into the research study so that you master the new tools and apply them to your own projects and those in which you collaborate"

It has taken years of research to achieve the medical advances that are currently applied in the health service. However, this discipline is increasingly demanding and its speed is highly valued. Therefore, the mastery of clinical information management techniques is key to the management of the health and social care field, research, publication of articles, theses and applied reports. In this way, experts could bring a wide prestige to their studies and focus them in a scientific line with greater guarantees.

For this reason, TECH Technological University offers a postgraduate diploma in Health Research Tools that delves into the interpretation of the information involved in the use of basic statistical tools and scientific methodology integrated by companies specialized in field work. In addition, thanks to TECH, students will delve into applied medical information on the preparation of reports, studies and documents aimed at decision-making on socio-health issues.

This is a 100% online program that is ideal for balancing study with the students' professional and personal lives. TECH applies the innovative Relearning methodology to facilitate professionals the gradual assimilation of the syllabus not requiring long hours of memorization, typical of orthodox teaching. In addition, the student will have the support of a teaching team specialized in the area that has participated in numerous studies in the health field.

Expand your knowledge in the definition of general and specific objectives of research projects, in order to master their implementation"

This postgraduate diploma in Health Research Tools contains the most complete and up-to-date scientific program on the market. The most important features include: 

• Case studies presented by experts in Health Sciences Research
• The graphic, schematic, and practical contents with which they are created, provide medical information on the disciplines that are essential for professional practice
• Practical exercises where the self-assessment process can be carried out to improve learning
• Its special emphasis on innovative methodologies
• Theoretical lessons, questions to the expert, debate forums on controversial topics, and individual reflection work
• Content that is accessible from any fixed or portable device with an Internet connection

Graphical representations of data are key in healthcare research and other advanced analysis. Delve into this field with guaranteed success through a 100% online program"

The program includes, in its teaching staff, professionals from the sector who bring to this program the experience of their work, in addition to recognized specialists from prestigious reference societies and universities.  

Its multimedia content, developed with the latest educational technology, will provide the professional with situated and contextual learning, i.e., a simulated environment that will provide an immersive education programmed to learn in real situations.  

The design of this program focuses on Problem-Based Learning, by means of which the professional must try to solve the different professional practice situations that are presented throughout the academic course. For this purpose, the student will be assisted by an innovative interactive video system created by renowned experts.   

Be part of the evolution of clinical research projects thanks to the simple examples of simulation and statistical inference offered by TECH"

Master the ROC Curves and the types of multiple regression analysis to apply to your scientific trials and offer a with greater precision service"

This Professional postgraduate diploma in Health Research Tools aims to provide all the knowledge in tools of research to doctors and other professionals interested. For this purpose, this program delves into nonparametric inference; local adjustments and generalized additive models; regression methods with R and programming and functions in R, among many other topics. By being part of this study, the student will receive a detailed teaching that will facilitate decision making in the real scientific scenario, through the simulation of real cases. 

Delve into Poisson and negative binomial regression inflated by zeros to fully master regression methods for research with R”

General Objectives

• Understand the appropriate approach to a question or problem to be solved
• Asses the state of the art of the problem through literature search 
• Assess the feasibility of the potential project 
• Study the drafting of a project in accordance with the different calls for proposals 
• Examine the search for funding 
• Master the necessary data analysis tools 
• Write scientific articles (papers) according to the daily magazines
• Generate posters relevant to the topics addressed 
• Know the tools for dissemination to the non-specialized public
• Delve into data protection 
• Understand the transfer of knowledge generated to industry or the clinic
• Examine the current use of artificial intelligence and massive data analysis 
• Study examples of successful projects 

Specific Objectives

Module 1. Generation of Research Projects

• Learn how to assess the feasibility of the potential project
• Delve into the essential milestones for writing a research project
• Delve into the criteria for exclusion/inclusion in projects
• Learn how to set up the specific team for each project

Module 2. Statistics and R in Health Research

• Describe the main concepts of biostatistics
• Learn how to use the R program
• Define and understand the regression method and multivariate analysis with R
• Recognize the concepts of statistics applied to research
• Describe the statistical techniques of Data Mining
• Provide knowledge of the most commonly used statistical techniques in biomedical research

Module 3. Graphical Representations of Data in Health Research and Other Advanced Analysis

• Master the tools of computational statistics
• Learn to generate graphs for the visual interpretation of data obtained in research project
• Obtain in-depth knowledge of dimensionality reduction methods
• Delve into the comparison of methods

Would you like to apply computational statistics in your projects? Improve exponentially your scientific scope, thanks to the rigorous knowledge that you will gain with TECH”