Archive for INSERM

cost(s) of living

Posted in Kids, pictures, Travel, University life with tags , , , , , , , on March 4, 2021 by xi'an

Yesterday, Andrew posted an announcement for a postdoc position in Paris, at the national medical research institute (INSERM) on Bayesian approaches to high throughput genetic analyses using nonlinear mixed effect models and the comments went ballistic about the low salary attached to this postdoctoral position, namely 2600€ – 3000€. As I have already commented on the rather stale clichés on French academics, let me briefly reflect on the limitations of comparing 3000€ a month in Paris with say $5000 a month in New York City. (Which seems to be at the high end of US postdoc salaries.) First, the posted salaries are “gross” but the French one already excludes the 25% taxes paid by the employer. I do not know if this is the case in the US. Second, comparing absolute values makes little sense imho. Even if the purchasing power parity is about one between France and the US, I think the long term cost of living [as opposed to visiting for a week] is lower here than there. If only because the amount is similar to, if higher than, the starting academic salaries and around the median salary. Interestingly, the same appears to be true for the US, if less favourably for the postdocs there.

epidemiology in Le Monde

Posted in Books, Statistics, University life with tags , , , , , , , , , on February 19, 2012 by xi'an

Quite an interesting weekend Le Monde issue: a fourth (2 pages!) of the science folder is devoted to epidemiology… In the statistical sense. (The subtitle is actually Strengths and limitations of Statistics.) The paper does not delve into technical statistical issues but points out the logical divergence between a case-by-case study and an epidemiological study. The impression that the higher the conditioning (i.e. the more covariates), the better the explanation is a statistical fallacy some of the opponents interviewed in the paper do not grasp. (Which reminded me of Keynes seemingly going the same way.) The short paragraph written on causality and Hill’s criteria is vague enough to concur to the overall remark that causality can never been proved or disproved… The fourth examples illustrating the strengths and limitations are tobacco vs. lung cancer, a clear case except for R.A. Fisher!, mobile phones vs. brain tumors, a not yet conclusive setting, hepatitis B vaccine vs. sclerosis, lacking data (the pre-2006 records were destroyed for legal reasons), and leukemia vs. nuclear plants, with a significant [?!] correlation between the number of cases and the distance to a nuclear plant. (The paper was inspired by a report recently published by the French Académie de Médecine on epidemiology in France.) The science folder also includes a review of a recent Science paper by Wilhite and Fong on the coercive strategies used by some journals/editors to increase their impact factor, e.g., “you cite Leukemia [once in 42 references]. Consequently, we kindly ask you to add references of articles published in Leukemia to your present article”.