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About Function

  • Rank
  • Birthday 12/27/1996

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  • Gender
  • Location
  • Interests
    Movies, music (where shall I start ...), neuro-oncology (with special interests in gliomas), neurology and neurophysiology (with special interests in epilepsy and (problems of) consciousness), endocrinology (with special interests in fertility, andrology, and endocrinology of the adrenal cortex)
  • College Major/Degree
    BSc in Medicine
  • Favorite Area of Science
    Medicine: neurology, neurophysiology, endocrinology
  • Occupation
    1st year graduate student - Master of Medicine

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  1. Going to present some first results for my thesis at the European Conference on Clinical Neuroimaging in Brussels! :lol:

    1. koti


      Eatem up during the presentation. And remember to engage people, provoke discussions, this way they will remember you as a star. 

  2. Body odour and race

    Hello everyone Just to make some things clear: Everything mentioned in here is mentioned from a scientific point of view and results from personal observations. This thread is not meant to be racist; if anyone feels in a more or less direct way offended by this post, please let me know what can be changed to work towards a solution that works for both parties. So I sat on the train today, after spending too much money on some sweets, a little reward to myself for successfully taking the exam on pneumology, haematology, and nephrology earlier today. Looking into my candy bag, and picking some sweets, I suddenly noticed a specific odour. An odour that was very well known to me, an odour that I had come to associate with black people over time. Without knowing who sat in my vicinity, I noticed some frizzy afro-american hairs protruding above the seat in front of me; and it was clear to me that the odour was indeed coming from that person. And I have totally no problem with that; I just noticed it and found it remarkable that I could determine the presence of a person of a certain race in my vicinity just by smelling. Above all, I have 2 black nephews and a black aunt and whenever I'm near them, I cannot help but notice the same familiar, typical odour. I'm trying to find what correlation can be made between race and body odour, but I only find some shifty fora with discussions that lead to nothing. I'm looking for scientifically validated data and articles that state that indeed different races do have specific body odours. Can someone help me in this search? Thank you kindly. Function
  3. Algoritm coefficient correlations

    Ahh yes; sorry, my bad. SPSS has a period as decimal separator, but forgot that Excel is still set in my regional standards (where a decimal separator is a comma)
  4. Algoritm coefficient correlations

    Not everyone And how so? I genuinely believe this is "a 10 x 10 table with 10 by 10 variables and in the cells their correlation coefficient" (correlation coefficient being the correlation coefficient of 2 variables). So I'd need every possible set of variables, with none of the inter-variable correlation coefficients of the set exceeding, let's say, 0.1.
  5. Algoritm coefficient correlations

    It's in SPSS, but I need to make a new table, e.g., in Excel, with variable-variable correlation coefficients. However, I'm afraid I cannot program whatsoever, so I'd appreciate any help ... You can find the original true values attachted in csv format. Map1.csv
  6. Hello everyone Consider a 10 x 10 table with 10 by 10 variables and in the cells their correlation coefficient. Suppose that I want to select every combinatory set of variables that have a correlation smaller than 0.1. Is there a way in, let's say, Excel, or SPSS, to do this? E.g., VAR1 has a correlation smaller than 0.1 with VAR2, VAR3, and VAR4. VAR2 and VAR3 have a correlation smaller than 0.1, VAR2 and VAR4 too, but VAR3 and VAR4 have a correlation of 0.2 The resultant sets are (1) VAR1, VAR2, and VAR3, and (2) VAR1, VAR2, and VAR4. You can imagine that this gets really complicated for 10 variables of which some have correlation smaller than 0.1 with at least 6 other variables. In short: of 10 variables, I need to define every possible set that is made from any combination of variables, of which their inter-variable correlation is less than 0.1. How can I do this? Thank you very much! F.
  7. Hello everyone I was wondering something while designing a diagnostic model for brain tumours for my thesis ... Suppose you have two tests do differentiate high-grade tumours from low-grade tumours. Let's call these tests A and B. Test A checks whether tumoural metabolism exceeds a predefined threshold, let's say alpha. Let's say that test A measures averaged metabolism value of all cells exceeding 1.5 times background metabolism value. When this averaged metabolism value exceeds alpha, test A is positive. Test B checks whether tumoural metabolism exceeds a higher predefined threshold, let's say beta. Let's say that test B measures averaged metabolism value of all cells exceeding 2.0 times background metabolism value. When this averaged metabolism value exceeds beta, test B is positive. Let's assume that higher tumour metabolism correlates with higher grade and thus, when test A or B is positive, a tumour is deemed high grade. When one of the tests is positive and another is negative, whether a tumour is deemed high grade or low grade is based on the demonstrating or exclusive power of test A and B, and thus, their positive and negative likelihood ratios, respectively. Let's say the pre-test odds for high grade is 1. Let's say the positive likelihood ratio of test A is LRA and the positive likelihood ratio of test B is LRB. When tested separately: Odds for high grade in positive test A will be 1 * LRA Odds for high grade in positive test B will be 1 * LRB My question is: when both tests are ran, can you simply say that the post test odds = 1 * LRA * LRB? If there is a problem, it will most likely be that both tests cannot be called independent of one another, but I don't know whether those tests must be completely independent from one another. After all, consider this: both tests measure the metabolism value of a group of cells that exceed a predefined value. Value beta is higher than value alpha, so all cells satisfying the conditions for test B automatically satisfy the conditions for test A. However, test A includes more cells, since test A requires a lower threshold value to be exceeded for cells to be included in the test. Argument à décharge (in favour of combining both tests to post test odds = 1 * LRA * LRB): the tests might be considered somewhat independent since the cells that satisfy conditions for test A, but not for test B (that is, all cells that show metabolism values between 1.5 and 2.0 times background metabolism value), are independent from the cells in test B. Thank you for your insights. Regards
  8. Graphs

    Yup, I'd also think that it's GraphPad Prism. Thanks!
  9. Graphs

    Hey everyone Does someone know what programme is used to make graphs as in the figures attached? Doesn't look like SPSS or R, but they seem to be the product of the same programme, and their layout is very recurring among scientific (medical) literature. I'd like to adapt that style so I'd like to know what programme they were made in. Thanks. Functionella blah blah
  10. Small nitpick: first-line indents

    No, we're left the choice whether we indent or choose the blank space
  11. Small nitpick: first-line indents

    It's for my thesis. Not for a journal article.
  12. Hello everyone A small nitpick for those who love typography and typesetting and such. In my thesis, I indent the first line of all paragraphs but the first ones. However, I'm wondering whether I should indent the first line of new paragraphs starting under tables or figures, when the table/figure is aligned at the top of the page? It looks a bit silly when indented, but it might indeed denote the separation of this paragraph from the former one on the previous page, and might therefore be obligatory (as far as we can call something obligatory in typography). What would be your personal preferences? Thanks! Baccalaureus functionellus
  13. Ibuprofen's anti inflammatory properties

    I think he's thinking of it as directly toxic etc., just as would antacidics directly neutralise stomach acid? Can't think of another example than antacidics, actually. Or certain laxatives.
  14. Promotor (specialist in nuclear medicine) called my thesis literature review chapter on positron emission tomography "very sound and accurate" and was very satisfied with it. Made my day!

  15. Corrupt thesis document

    Futura Pro (Book & Medium & Small Caps Book & Small Caps Medium) No problems in other documents ... I'm starting to think it might have something to do with the file size and all the images in it?