In such cases a researcher unfamiliar with R may enlist the help of a statistician to do the analysis. spline models to assess dose-response effects. The problem arises when a complex statistical analysis not implemented in SPSS-like software is required for a paper publication, e. It would appear that many physicians and researchers from other applied areas belong to this group of people who feel much more comfortable using this sort of software than writing commands. By far, these point-and-click alternatives are the most commonly used by analysts who do not have the knowledge to manage R commands with confidence. On the other, R has a very steep learning curve for beginners while other software such as SPSS are much more intuitive and easier to learn. On the one hand, R offers a great flexibility and power to perform any kind of analyses and computations. In the last decade, R has become one of the most used software both for statistical and data-analysis in general. He has given several workshops of Shiny, at UPC Summer School, Servei d’Estadística Aplicada de la Universitat Autònoma de Bellaterra (SEA-UAB), at Basque Country University (EHU) and at the Institut Català d’Oncologia (ICO). Since 2004 he has been working at REGICOR group (IMIM-Parc de Salut Mar) assessing statistical analyses in cardiovascular and genetic epidemiological studies. Since 2007 he has been teaching statistics and mathematics at the faculty of Biology (UB) and Statistics (UPC) as associate professor. Additionally, he was awarded his PhD in Statistics from the Universitat de Barcelona (UB) in 2014. Isaac Subirana holds a MSc in Science and Statistical Techniques from the Universitat Politècnica de Catalunya (UPC) in 2005.
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