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Knowledge & Technology Transfer

  

The GRASS group offers scientific collaborations and technical services to support research and innovation addressed to research groups, enterprise, public and private institutions and research centers.
 

We provide consultancy services, advice on the design of the study and sample size calculation, statistical analysis plan, interpretation of results and final statistical report, as well as support for the writing and revision of statistical sections in scientific manuscripts and grant applications in the following areas:

 

Survival analysis

Studies of time until an event including complex censoring patterns. Survival analysis using parametric, nonparametric and semiparametric methods: Kaplan-Meier curves, log-rank tests, proportional hazards regression models, multi-state models, competing risk models and multi-event analysis.

Scientific coordinator: Guadalupe Gómez 

Statistical Genetics

Studies involving genomic information: SNPs, CNVs, Next Generation Sequencing, Transcriptomics, Proteomics, Epigenomics and Metagenomics. Identification of biomarkers in GWAS. Genetic interaction analysis. Prognostic models including genomic information. Measures of predictive accuracy.

 

Scientific coordinator: M. Luz Calle 

Clinical trials

Exploratory and confirmatory clinical studies, randomization strategy, equivalence and noninferiority, sequential and adaptive clinical trials, etc. Advice on the choice of the primary endpoint in a clinical study and use of the CompARE platform.

  

Scientific coordinator: Guadalupe Gómez 

Epidemiological studies

Epidemiological studies, including type of study, statistical analysis, control of possible sources of bias, follow-up strategy in the case of longitudinal studies, interpretation of results. Types of studies include cohort studies, matched and unmatched case-control studies, and cross-sectional studies.

Scientific coordinator: Klaus Langohr 

Statistical techniques for Buildings' data

Reliability and survival techniques for building related problems: service life estimation of building components, durability of facades, progression of failures, maintenance planning, inspection strategies, structural reliability, facility and quality management, safety and prevention, and scheduling optimization.

 

Scientific coordinator: Carles Serrat 

Food technology

Shelf life of food and consumer preference studies: parametric and nonparametric methods to analyze the shelf life of foods and to estimate sensory cut-off points based on consumers’ decisions and taking into account the interval-censored nature of the data and the inherent variability in sensory measures.

 

Scientific coordinator: Klaus Langohr


For further information about these services please contact us:


Moisés Gómez Mateu
E-mail: moises.gomez.mateuupc.edu