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Statistics, Econometrics and Health Research Group (GRECS)

Lines of research

Statistics, Econometrics and Health Research Group

  • Epidemiology
  • Statistical and econometric methods
  • Real World Data and Real World Evidence


Epidemiology studies the distribution, frequency and determining factors of existing illnesses in human populations. Epidemiological methods are fundamental to identify etiological factors that justify the formulation of health policies directed at the prevention of illnesses.

In particular, we work in the following fields:

  • Environmental epidemiology
    • Socioeconomic inequalities in health
    • Violence against women
  • Clinical epidemiology
    • Motoneuron disease. Primary lateral sclerosis (PLS)
    • Cardiovascular Diseases
    • Cancer and diet
  • Epidemiology of cancer

Statistical and econometric methods

Statistical methods study variability and the random process this generates, according to the laws of probability. The application of statistics allows the analysis of data coming from samples, attempt to explain the dependencies of phenomena and their occurrence. For its part, econometrics makes extensive use of mathematical and statistical models to analyse, interpret and make predictions about economic systems.

Among the methods we use to investigate, there are:

  • Space-time models
  • Bayesian statistics
  • Mixed models. Multilevel models and panel data models
  • Analysis of survival (classic and multivariant)
  • Analysis of compositional data
  • Survey Method

Real world data and real world evidence

During the last decade, there has been a huge breakthrough with regard to new information systems, which has meant a notable increase in both the quality and the amount of computerised data computerised. Applied research needs to feed precisely on databases coming from several and different sources. It is in this context that the so-called Real World Data (RWD) become important. In this regard, RWD combine data coming from several sources, they standardise them in a shared data model and they enable systematic analyses to be carried out in a standard way. Real World Evidence (RWE) would refer to the evidence obtained from RWD. RWD and RWE use observational designs, which can be subject to certain biases that may endanger the internal and external validity of the study. It is here that statistical and econometric methods become significant, allowing biases to be controlled and valid inference to be obtained.

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