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Call Knowledge Transfer Unit

Complete the following questionnaire for - Research Technician in Applied Statistics - Estimation of the distribution of the accumulated cost per patient in the presence of censored data  (246 KB)


This project deals with the estimation of the distribution of the accumulated cost per patient according to diseases, the received medical allowance, etc. The objective is not to estimate the, e.g., average cost, but to estimate the entire distribution. This will allow us to fully characterize the population of interest, which will provide information that we seek to further explore and study in detail. In addition to defining the methods for estimating the accumulated cost per patient, the project aims at defining and automating the workflow that will allow obtaining the data in the appropriate format for the subsequent analyses. In doing so, we seek to allow the routine use of the proposed methodology.

About BCAM Knowledge Transfer Unit (KTU):
The aim of the KTU is to develop mathematical solutions for scientific challenges based on real-life applications. One of BCAM's most important missions is to spread knowledge and technology in the industry and society in general. It is critical for the Basque Center for Applied Mathematics to transfer the obtained research results to sectors as biosciences, health, energy, advanced manufacturing, telecommunications and transport, including local, national and international entities.

Deadline: September 13th 2019, 14:00 CET (UTC+1)

*Note that Research Statement is not mandatory. Please, upload a blank PDF file in case you do not want to highlight any scientific results. If you are not including reference letters, you should write "none" in the fields for the referees and "no-reply@bcamath.org" as email address.

((required)) Compulsory field.

Call is CLOSED

Eusko Jaurlaritza - Gobierno Vasco ikerbasque - Basque Foundation for Science Bizkaia xede. Bizkaiko Foru Aldundia innobasque - Agencia vasca de la innovación Universidad del PaÌs Vasco (UPV/EHU)