Jump to content

statfan

Members
  • Content Count

    57
  • Joined

  • Last visited

About statfan

  • Rank
    Caffeinated

Recent Profile Visitors

1,656 profile views
  1. statfan

    GRE Math Subject Test

    I have to disagree with you. My supervisor obtained her phd from a top 5 statistics/biostatistics program and she knows much more about the admissions process than we do. According to her, although more and more people apply each year, the competition does not get fiercer and fiercer. Many students apply to statistics phd simply because statistics gained popularity in recent years. However, some of them did not even meet the minimum requirements and they won't get in. The reason why it is harder for international students to get into top phd programs are: (1) Their referees may not be well-known in statistics. (2) The admissions committees are concerned about their English skills. (3) They come from an unknown institution. Interestingly, applicants from a Canadian top school seems to do much better than other international students because they subject to none of the three. Personally, I know quite a few Canadian students in my school who got into UW/Chicago/Columbia without having taken the math GRE test. But they have great research experience and excellent math preparation.
  2. I would get letters from statistics/math professors who can attest to your math skills and research potentials. If you score well on the Putnam, it may help alleviate the concern of coming from an unknown school so definitely put it into your cv. The general GRE scores are pretty much useless unless you really bomb it.
  3. statfan

    GRE Math Subject Test

    The average varies from year to year and the 89% average should be the average for the incoming class last year. Unfortunately, the GRE math test is neither an accurate measure of math skills nor a good indicator of future success in graduate programs so most schools don't take it very seriously. If your math background is relatively light or you come from an unknown school, a decent score, say over 80% may help. Otherwise, your math skills are reflected on your transcript much more than the GRE.
  4. statfan

    GRE Math Subject Test

    According to my supervisor, the GRE subject test most often acts as a screening test and is less important than you think, even for schools that require it. With that said, if you score too low, it could raise concerns, however, if you pass the cutoff it won't matter much. For top statistics programs, I guess 70% would be ok and anything over 80% would be considered a very good score, and I doubt the bars are different for international and domestic since afaik some international students still got into these schools without taking the test. If you get rejected with an over 80% GRE math score, it is not because of your GRE.
  5. You have an excellent math background. However, if your school does not have track records of sending students to top phd programs, it would still be difficult for you to get in. If that is the case, you should apply very broadly. Your chances depend a lot on the quality of your references and if your referees are well known, that will help you a lot and you may get into a couple of the top 20's. You should definitely apply to the school where you did REU at.
  6. Hello, I am in dilemma of choosing references for (bio)statistics PhD applications and I am kinda in need of your help. I am currently working towards my master's thesis and I got one letter from my supervisor. I also got a letter from a very well-known biostatistician who I took graduate survival analysis with, although he knows me less well. Now I am debating on who I should ask for the third letter. Currently I have two options: An assistant prof. that I took two undergrad statistics courses and did research with during my undergrad or an associate prof. who I took grad statistical inference and experimental design with. The undergrad research did not yield significant results and since I already asked two letters from biostatistics faculties, I am more leaning towards the associate prof. who can attest to my math/statistics skills. However, some of my friends told me that I should get as more letters as possible from people that I did research with and I am really confused now. If I mention my undergrad research in my SOP but did not ask a letter from the assistant prof, would this be looked upon unfavourably?
  7. When you talk about grading scheme, it depends on the group of students who take the course. I am from a well-known Canadian University and it is not unusual to have average in the 60s (C range) in first/second year core math courses like calculus and linear algebra. But in grad-level stat/math courses, the average is at least an 80 and sometimes it is close to 90. However, this does not necessarily mean it is easier to get high grades in grad-level courses because the students who take these courses are much stronger than those in first/second year courses.
  8. statfan

    2019 Stat/Biostat Phd Profile

    Thanks for your comments. There are still many international students that I know who got into top tier programs nowadays. What do you think is the weakest part in my profile?
  9. statfan

    2019 Stat/Biostat Phd Profile

    Thanks for you advice. Do you think there is a way to improve my profile so that I have a better shot at these schools as of now?
  10. statfan

    2019 Stat/Biostat Phd Profile

    Thanks for your input. The first two letters should be fairly strong since they are very familiar with my work but I am not sure whether I should get my third letter from a pure math lecturer or a well-known biostatistican. The pure math lecturer knows me very well but I'm wondering if a letter from a lecturer (he has a phd though) would end up not helping me. I feel a letter from the well-known biostatistican is likely to be generic.
  11. Hey I will be applying to statistics/biostatistics phd this fall and I'd like to know where I stand among other applicants. Any evaluation/advice is greatly appreciated. Here is my profile: Undergrad Institution: One of the big Math/Statistics schools in Canada (one of U of T, U of Waterloo, UBC) Major(s): Statistics and Actuarial Science GPA: We do percentage grading. Roughly convert to 3.7, higher in math/stat courses Grad Institution: Same school Major: Statistics GPA: 3.9+ Type of Student: Asian Male Relevant Courses: Calculus 1-3 (A+, A+, A+). Linear Algebra 1-2 (A+, A+). Introduction to Differential Equations (A+). Introductory real analysis (A-). Real Analysis (A-). Lebesgue Integration and Fourier Analysis (A+). Mathematical Statistics (a la Bain/Engelhardt, A+). Estimation and Testing (A+). Graduate Statistical Inference (A+). Applied Probability (A+). Stochastic Processes (A+). Applied Linear Models (A-). Generalized Linear Models (A). Simulations (A). Time Series (A). Sampling and Experimental Design (A+). Experimental Design 2 (A+). Survival Analysis (A). Biostat Topic: Missing Data and Causal Inference (A+). GRE General Test: Q: 170 V: 153 W: 3.5 Should I retake due to the low verbal and writing scores? GRE Math Test: Taking in September Research Experience: One part time RA with a Statistics professor during undergrad. Graduate RA under the supervision of a biostat associate prof and now I'm working towards my master's thesis. I will finish my thesis by the end of this year. If things go well, this will result in several publishable papers next year. Awards/Honors/Recognitions: Something related to high grades, nothing major. Letters of Recommendation: One from my current master supervisor (associate prof), one from an associated prof who I took grad stat inference and experimental design with. I am not quite certain about the last one yet but it will be either from a pure math lecturer who taught me lebesgue integration that I did very well, or a well-known biostat prof who taught me survival analysis. Any Miscellaneous Points that Might Help: Although I did well in most math/stat courses, I received some low grades (B's and two C's) in actuarial science courses and electives. How will this negatively impact my chances? Should I address this in my SOP? Applying to Where: This is my tentative list and it is subject to change depending on my GRE math results. Statistics: Stanford, Berkeley, Chicago, Penn, Wisconsin Biostatistics: Washington, Johns Hopkins, Michigan, Columbia Thanks for your help!
  12. statfan

    2019 MSc Statistics Profile Eval

    Real analysis is very useful for statistics at the phd level and people seldom get into statistics phd without having taken real analysis. Probability and mathematical statistics are important as well but this background can be made up during phd. For MS calculus 3 and linear algebra are more than enough.
  13. statfan

    2019 MSc Statistics Profile Eval

    GRE is a filter and unless you bomb it, it won't matter much. Your official transcript should not show your GPAs since different universities have different rules of calculating GPAs. The admission committees will mainly focus on grades in individual courses that are relevant and you did well in all of them. That being said, you are competitive for any masters program so maybe remove some lower ranked schools like Ohio state and Colorado, and I feel that with this profile you are even competitive for top 20 phd progams.
  14. statfan

    2019 MSc Statistics Profile Eval

    I doubt they would care about your major gpa since your major is unrelated to statistics. You have more than enough background for masters and with this profile you should be competitive almost everywhere.
  15. statfan

    Biostats at McGill

    U of T biostat department is pretty much unknown and UBC has a very small department. Mcgill biostat is highly regarded in Canada and so is Waterloo.
×

Important Information

By using this site, you agree to our Terms of Use and Privacy Policy.