European Journal of Anatomy

Official Journal of The Spanish Society of Anatomy
Cover Volume 23 - Number 5
Eur J Anat, 23 (5): 333-340 (2019)

Analysis of factors associated with Grant for PCT national phase entries patent: a mathematical model

Pablo Álvarez1,2, Marta Reyes4, Julia Sánchez-Cantalejo1, Arturo Argüello3

1Bio-Health Research Institute ibs. Granada, Spain, 2Foundation for Bio-Health Research in Eastern Andalusia: FIBAO. Granada, Spain, 3Office of Technological Transference of the Public Health System of Andalusia. Public Foun-dation of Andalusia Progress and Health. Sevilla, Spain, 4Internal Medical Resident, SAS

ABSTRACT We developed a multivariate linear regression model to analyze factors associated with Grant for PCT national phase entries patent, in order to identify patentability success indicators.Information was gathered from the Eurostat and World Intellectual Property Indicators databases (period 2004-2014). Thre regression model were constructed using as response variable: Grant for PCT national phase entries patent in the national phase and considering 11 variables related to R&D funding and research personnel as predictor varia-bles. Multivariate linear regression models were estimated using the Bayesian Information Criterion (BIC). The most influential predictive variables were: Total R&D personnel and researchers by performance sectors, sex and fields of science. The regression coefficient was 0.001 with (P <0.05). In conclusion, the mathematical model shows that the most effective predictors of patent-ability are qualified R&D personnel.

Keywords: Patents multidisciplinary analysis – Quality Signal, Research and Development – Pa-tent indicator – Patent statistics – Multivariate line-ar regression model

European Journal of anatomy
ISSN 2340-311X (Online)