Why research in statistics and health economics is so cool
Hello everbody and it is good to be back after a nice and cozy Easter break. As probably most of you, I was too forced to spend my Easter holidays away from my family this year but at least here in the Netherlands the weather was pretty nice during the Easter weekend and I was able to enjoy a nice walk through the city center of Maastricht which was an amazing experience.
Here we are again. Except now it feels like a very nice spring time here in Maastricht with beautiful sunny days an warm weather. The picture does not really represent the environment in this region of the Netherlands (called Limburg), but I thought it was a very nice picture to put as thumbnail.
Hello everybody, it is time for some quick updates about myself and what I have been doing the past month. Well, essentially, I have been crazy busy doing lots of teaching on statistics-related subjects, which is the primary reason I was hired here in Maastricth.
Happy new year everybody! Yeah, I know it already almost February but I have been incredibly busy the past few weeks after the Xmas break. From getting familiar with the courses I am teaching this term to providing consultancy advice on statistical problems for students from FHML at UM.
It is Xmas again! Wow, how quickly time flies. The situation here in the Netherlands is not ideal as the number of infected is on the rise again and the government has declared a full lockdown until January 19th.
Finally some exciting updates! I really need some good news after all that happened this year. So, first of all I have recentely found out that one of the paper I co-authored got published early this year but I actually forgot to check it.
Hello dear readers! I have finally come back from my lethargy with a new exciting posts about why the job of health economists, although inevitably involving some statistics, can be very different from what standard statisticians typically do.
Hello dear readers, I have some exciting news about myself and my future which I am eager to communicate on this blog. I know that it is not exactly the most interesting news for everybody but I have recently joined a new research team in the Department of methodology and statistics at Maastricht University, in the Netherlands.
What is probability ? The answer to this question is generally acknowledged to be the one that respects the so called Kolmogorov axioms which can be brutally simplified to:
Many times I have been asked by co-workers and people around me who are a bit familiar with statistics why I choose to be Bayesian and whether I feel confident in using this approach for my data analysis rather than the most widely accepted frequentist methods, at least in my research area.