El Aragonese Institute of Health Sciences adjacent to Aragon Health Research Institute organize of 25 from April to 31 from May of 2022 el Course «Advanced statistical modeling in biomedical studies: Longitudinal data analysis (R) (2022 Edition)».
Professionals from the Aragonese Health System, and/or research staff from the IIS Aragón who carry out research within a research team, who require the use of this type of methodology to carry out their research work. (20 places)
Selection criteria
The selection criteria will be:
HEALTH professionals who belong to a research group.
HEALTH professionals who wish to begin research work.
Professionals assigned to IIS Aragón research groups not included in the two previous groups who develop clinical research and with preference for emerging groups.
Pre-registration Order.
In the selection, an attempt will be made to guarantee that the different health sectors of Aragon are represented in the activity.
For in-person sessions, it is essential to bring your own laptop.
Basic knowledge of statistics is required, as well as experience and knowledge of using R Software.
We speak of statistics, when we think of a relationship of numerical data presented in an orderly and systematic way and we speak of biostatistics when referring to a branch of statistics that deals with the problems raised within the life sciences, such as biology, medicine, among others.
Knowledge of biostatistics can help the health professional to better interpret the results of original articles they review, allowing them to understand many of the technicalities found in them and judge them critically.
Statistical analysis using R software allows not only to analyze these data with basic statistical techniques, but also allows carrying out analyzes using more complex models that are not available in other programs designed for data analysis. The flexibility of the R environment also allows the user to create high-level graphics that allow the information being processed to be efficiently displayed. R is also a programming language that allows the researcher to create their own functions to facilitate, for example, massive data analysis.
Currently, many scientific journals ask researchers that their work be reproducible from a statistical point of view. R is the most used software for this task thanks to the possibility of integrating R code into text documents, LaTeX or even HTML pages. Since R follows the “open source” philosophy, many researchers make libraries, functions and examples available to the scientific community that facilitate the analysis of all types of biomedical data even for those who do not have advanced statistical or programming knowledge. .
Unlike cross-sectional studies, longitudinal studies collect information in two or more time periods. This fact means that traditional statistical methods cannot be used since the assumption of independence between observations is not met.
In this course, the main methodologies for analyzing data measured repeatedly over time using linear models and survival analysis will be studied.
OBJECTIVES :
Objective
Provide advanced statistical tools for health sciences research.
Specific objectives
– Introduce the student to multivariate analysis using linear regression models for longitudinal data using R.
– Introduce the student to survival analysis
– Create reproducible reports using only R
Pre-registration deadline: March 20, 2022
Online with:
2 Live Webinar Sessions: May 2 and 16 (16:30 p.m. – 18:00 p.m.)
2 face-to-face sessions (CIBA)*:
Subgroup 1: May 9 and 23 from 16 p.m. to 19 p.m.
Subgroup 2: May 10 and 24 from 9 p.m. to 12 p.m.
*It is necessary to bring your own laptop.
Program and registration