Copy
Hola <<First Name>>,

Avui és divendres i toca newsletter!

Ens plau informar-te de les darreres notícies del grup. Recorda que pots trobar notícies de Newsletters antigues aquí.
Ethics of Hype and Bias in Science
 
  
The phenomena of hype and bias are becoming increasingly prevalent and receive little recognition.

Nou TFM defensat

La setmana passada la Leire Garmendia va defensar el seu treball de fi de màster titulat "Interactive modelling and prognosis of a COVID-19 hospitalized patient via multistate models" i dirigit per Jordi Cortés i Lupe Gómez. Moltes felicitats als tres!!!
   

Nous papers al GRBIO

El GRBIO no deixa de fer producció científica i alguns dels seus membres han publicat articles recentment. A sota us presentem algunes de les seves contribucions. Moltes felicitats a tots!!!
 

EngiMath project

EngiMath project, whose UPC PI is Carles Serrat, has recently been recognized with two international awards:
    - The Golden Apple for the Best of the Best ERASMUS+ innovation projects for the 2020 and 2021 calls in Estonia.
    - The best project in the Skills Relevance category by the European Association of Institutions in Higher Education.
 

More info: here

Ofertes de feina

Research Associate. MRC Biostatistics Unit at the University of Cambridge. Topic: Bayesian hierarchical approaches to model genetic regulation across diverse human conditions. Contract type: 2 years. Salary: £33,309-£40,927. Deadline: 1/07/2022. More info: here
Pots trobar més ofertes de feina de Newsletters aquí

Data visualization tips
In a world where data really matters, we all want to create effective charts. Most of us learn data visualization as we go along, and therefore we often make choices or mistakes that confuse and disorient our audience. From overcomplicating or overdressing our charts, to conveying an entirely inaccurate message, there are common design pitfalls that can easily be avoided. Some pointers to help you create simpler charts that effectively get across the meaning of your data follow.
Article

Self-reporting and screening
We consider survival data that combine three types of observations: uncensored, right-censored, and left-censored. Such data arises from screening a medical condition, in situations where self-detection arises naturally. Our goal is to estimate the failure-time distribution. We propose a novel methodology for distribution estimation and evaluate its performance via simulated data. Finally, we estimate the patience of patients who arrive at an emergency department and wait for treatment.
Article

Need of data-literate citizens
In today’s world, mass illiteracy is largely – and thankfully – a thing of the past. However, we are faced with a new challenge – data illiteracy – which risks alienating millions of people from the national conversation. In our daily lives, we are continually faced with an avalanche of data, figures, numbers and statistics across both legacy and social media. So, we need to develop some kind of ‘internal warning system’ to know how data are used to influence thought and behaviour. 
Article






This email was sent to <<Email Address>>
why did I get this?    unsubscribe from this list    update subscription preferences
Grup de recerca en estadistica i bioinformatica · C/ Jordi Girona 1-3 · Edifici C5 planta 2 · Barcelona, Barcelona 08034 · Spain

Email Marketing Powered by Mailchimp