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cyberwulf last won the day on September 7

cyberwulf had the most liked content!

About cyberwulf

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    Latte Macchiato

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    Biostatistics (faculty)

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  1. I'm sorry, I just can't let this stand unchallenged. It is complete nonsense to say that GLMs have had little impact on data science. Talk to any practicing data scientist and they'll tell you that a lot of the models actually being used in practice are relatively simple regression models. And survey sampling? That's a special case of weighting, which is heavily used in machine learning in the case of rare events (and also to increase algorithmic fairness). If all you're interested in doing is creating algorithms that do something faster or more accurately, sure, maybe you don't need a t
  2. I would definitely prioritize taking analysis and probability (in that order of priority) over differential equations.
  3. I think your list is being too heavily influenced by program deadlines and what they have told you they'll do with updated transcripts (e.g., applying to Chicago stat makes very little sense if you want to do biostat). Most programs will consider updated transcripts if you send them in mid-December. What matters more than the published deadline is when your application gets evaluated, and even programs with Nov/Dec deadlines generally review applicants in January/February. Also, I would suggest applying to some of the bigger, higher-ranked PhD programs like Michigan, UNC, Minnesota, and N
  4. You probably need to start by figuring out if you want to do a PhD in stat/biostat or math. While there are some differences between stat and biostat programs, they are tiny compared to the gulf between stat and math programs. From your background (coursework & research experience), you seem like a much better fit for (bio)stat than math, and would likely be competitive for a lot of very good stat PhD programs.
  5. I agree with the above advice. You should take a shot at a couple of top 10 PhD programs (which will almost surely admit you for a Masters if you don't get into the PhD) and probably focus your apps on programs in the 10-20 ranking range.
  6. I think you need to add some more "reach" schools. It's not unreasonable for you to apply to a couple of schools within the top 10, like Michigan, Penn, UNC, etc., particularly if you're willing to wait a year and re-apply.
  7. Yeah, that list is way too bottom-heavy. With non-disastrous letters, you're almost certain to get into most biostats programs ranked #4 and below. With strong letters, you have a very good shot at one of the top 3 places.
  8. I think the top 5 stat programs are reaches for you, but it's definitely worth applying to a couple of them. I suspect you'll find more success in the 10-25 range. Your math background is solid, though McMaster is probably perceived by most as a little less prestigious than UBC/UofT/McGill/Waterloo. Great research experience, but unfortunately that can be a little hard for admissions committees to evaluate. The primary value of those experiences is that it hopefully allowed you to build strong connections with faculty who will write you glowing letters. If you're set on going to a top-she
  9. Top 5 biostat is not a stretch for this applicant, given the strength of their school, GPA, and test scores. In fact, while there are no guarantees, I wouldn't bet against them getting into all the top programs they applied to.
  10. Give me one example of someone from this year who has published in Annals (Stats or Prob) before applying for a PhD.
  11. Your list of targets is confusing, since neither Wharton nor Cornell are biostatistics programs and the social stats specialists at UCLA are in the stat department. Are you looking at stat, biostat, or both?
  12. It's also important to remember the role that applicant self-selection plays in the process. Most applicants won't apply to every top 10 program, so each admissions committee only ranks a subset of the applicant pool. This actually helps a lot; there would indeed be significant noise if every admissions committee had to rank the top 100 applicants to statistics programs, but things become a lot more stable when programs only have to decide who to admit from among a smaller group. Consider, for example, a school that is ranked between #5 and #10 in the country. It might attract ~20 of the top 1
  13. I think it’s likely we’re going to see a lot of international deferrals due to the visa situation.
  14. Agree with the above. Depending on your letters, you could have a real shot at a top 10 biostat PhD program. I wouldn't bother with a Masters first; a substantial minority of biostat PhD students come straight from undergrad without a math/stat degree.
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