Design of experiments

Design of experiments (DOE) is a part of statistics that provides tools for efficient experimentation. Although the subject started in an agricultural context, it is nowadays being applied in many areas, both in science and in industry. A model-oriented view, where some knowledge about the form of the data-generating process is assumed, naturally leads to the so-called optimum experimental design (OED).

Due to increasing competition, DOE has become crucial for modern industry, especially for product development. Since different industrial applications of DOE (especially those in pharmaceutical industries) may exhibit very special and varying characteristics, this model oriented approach with its tailor-made solutions is of advantage.

Research Group

Just few scientists in Spain are focusing on the optimum experimental design. It could be fairly stated that the research groups in the University of Almería, University of Salamanca, University of Castilla-La Mancha, University of La Laguna, Public University of Navarra and University of Zaragoza are almost the only ones doing research in optimum designs theory applied to regression models. The “Optimum Designs Model Oriented Design and Analysis Conference”, mODa 8, took place in June 2007, 4th-8th, Almagro (Ciudad Real, Spain); the Local Organising Committee was composed by the members of the Optimum Experimental Design group.

The association of these groups has obtained some public funds from the Spanish Agency: Ministerio de Educación y Ciencia as well as from the corresponding Regional Administrations and Universities. The groups have also worked on several projects regarding different topics of Statistics, Probability and Operations Research. The group constitutes one of the eight nodes of the National Network of Biostatistics (BioStatNet), including some biomedical institutions:

Research Lines

Some of the current research lines of the group could be summarize on obtaining Optimal Designs for:

  • Nonlinear models.
  • Pharmacokinetic models.
  • Multifactorial models.
  • Compartmental models.
  • Survival analysis and censored variables.

Design of Experiments: Statistics for Researchers course

From the Statistics Area of the UCLM will be taught, in the coming weeks, a course of 25 teaching hours (in person and online) titled Experiment Design: Statistics for Researchers. The delivery dates are: Campus of Albacete: January 8th, 10th, 15th and 17th, 2019 from 10:30 a.m. to 1:30 p.m. Campus of Ciudad Real: November 20th, 21st, …

Continuar leyendo

Statistiche Woshe, September 11th-14th, Linz

The OED group attended The Statistical Week, jointly organized by the Austrian Statistical Society (OesG), the German Statistical Society (DStatG), the German Association for Demography (DGD) and the Union of the German Municipal Statisticans (VDSt). Particularly, Victor Casero Alonso gave a talk in ÖSG-SEIO Session, organized by J. López-Fidalgo and M. Stehlík.

Continuar leyendo