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cyberwulf last won the day on September 7 2020

cyberwulf had the most liked content!

About cyberwulf

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    Latte Macchiato

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  • Program
    Biostatistics (faculty)

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  1. Here are some things which come to mind when I think about these programs. Of course, this is based on my observations (and narratives from others) and hence entirely subjective: Harvard: Light coursework, heavy emphasis on research. Can be competitive. Many graduates end up in Harvard-affiliated non-faculty (or contract faculty) positions. Hopkins: Heavy coursework. Fun environment (at least inside the building). Most well-known advisors very "data science"-y. UW: Heavy coursework. Fun student experience. Thin on advisors that don't do variable selection/machine learning. Stud
  2. I see biostat admissions getting more competitive, not because incoming classes are getting smaller (though in some places they may be, somewhat) but because of increased interest in the field of biostatistics due to COVID. Nationally, applications to schools of public health are up about 20%, and while a good chunk of that is in other fields (hello, epidemiology!) there's definitely a spillover effect into biostat. Anecdotally, we're seeing a higher proportion of applications from people whose profile can be summed up as "I'm a smart person who didn't intend to go into biostat but gee that so
  3. Traditionally, UNC/UMich/UMN rarely give funded offers to Masters students (at Michigan, it's only for people who are in the "PhD track"). Duke is definitely a step below those places in terms of prestige, but it's got some good faculty and is located in close proximity to the Research Triangle so is probably a decent bet in terms of landing a good job after you graduate.
  4. You're clearly qualified for an MS stat, but I actually think your problem might be that you're overqualified; in fact, I'm not entirely convinced that most MS Stat programs would even take someone who already has an MS in Quantitative Econ from ISI. You've taken the "core" math stat and probability courses already (at an institution that is known for its excellent statistical training), so all you'd have left to do are a couple of secondary required courses and a handful of electives. Is that really what you want?
  5. If you clicked "Submit" on SOPHAS before 12/1, that is generally considered as having met the deadline. After that point, you just need to make sure your materials are complete by the time reviewing starts, which at most programs is in January.
  6. Offering to refund your application fee is the very least they can do if the mistake was their fault. If they're not willing to do that, that's atrocious.
  7. As long as the letter is in by the time the application gets reviewed (likely January at the earliest), you should be fine. But, it's always best to check with each program.
  8. No need to be fancy, just tell them you won't be needing a letter from them because you have a sufficient number from other faculty. Chances are, they'll appreciate that you're taking something off their plate.
  9. I don't know of any programs that uses an auto-rejection rule based on a hard GRE cutoff. So, regardless of the range in which they occur (within reason; obviously improving from a 145 to a 147 isn't going to make you more competitive), incremental improvements in the GRE score are likely to have similarly incremental effects on your chances of admission.
  10. Don't sweat it. At worst, you'll make someone reviewing your app chuckle.
  11. Big difference between MS and PhD programs. That score is totally fine for all the former, but might be on the low end for the latter.
  12. Possibly, but such faculty are a dying breed. The trend in biostatistics is towards being more deeply embedded within the biomedical domains they specialize in.
  13. It doesn't hurt to put your GPAs, if they're good. Also, I wouldn't include any kind of summary/objective text on a CV. Regardless, there likely won't be anything on your CV that isn't on your application in some other form (except maybe publications).
  14. I see your point, but being in a department is about more than your dissertation work. Faculty and most students in biostat departments are excited about working on biomedical problems, and so while someone without much interest in biology might be able to get through the Ph.D., they would likely feel quite isolated from their peers and mentors that they don't share a passion with.
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