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geekstats

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  1. @mikstabio @likewater I’ve seen acceptances posted on 2-3 different days in Jan last year for UNC. Let’s hope for the best.
  2. I did have my profile evaluated a while ago, but there are some changes and updates and I'd like to know if the schools I've finalized are reasonable aims. A shout-out to @Stat PhD Now Postdoc and anyone else who'd like to comment. Undergraduate Institution : In India (Not ISI) Major : Statistics GPA : 3.94 Graduate Institution : Duke University-- MS in Stats Graduate GPA : 3.97 Undergraduate Courses: Calculus I,II (Both A), Discrete Math I and II (Both A), Calculus and Analysis I and II (Both A), Linear Algebra I and II (Both A), Computational Mathematics I and II (Both A). Probability Theory (A), Statistical Estimation(A), Statistical inference (A), Linear Models I and II (graduate level; B+ and A; one grade really suffered due to illness, will explain this), Distribution Theory and Estimation I and II(graduate level, both A) and a bunch of applied stats courses with As. Graduate Courses at Duke : Mathematical Statistics (A), Predictive Modeling (A), Bayesian and Modern Statistics(A-), Advanced Stochastic Modeling (A), Causal Inference (A), Spatio Temporal Modeling (A), Study Design (A), Probabilistic Machine Learning(A) and a couple independent studies. GRE General : V :162, Q:162, AWA :4.5. GRE Math: Not taken Research Experience : Wrote a Masters thesis, did some research work in Stat.genetics and Bayesian ML. Also some applied work in analyzing EHR data and stats education. 3 methodology papers in submission to reasonably good journals (~CSDA & Bioinformatics). First author on one, second and third author on the others. One conference presentation in stats education. Currently doing research in environmental epidemiology at a med school. Letters : One from thesis advisor (also submitted a 1st author paper with him), one from stat.gen research supervisor (third author paper with him) and one ind.study supervisor. Schools: Biostat PhD--UNC, Michigan, UCLA, Emory, UPenn, MD Anderson, UPitt Stat PhD -- NCSU, PSU, OSU, TAMU, UFL, UConn, FSU Concerns: 1. Are any of the listed schools absolutely outside my reach? Do I need more safeties? 2. How will a B+ in linear models affect my application? I hadn't mentioned this in my earlier profile evaluation---but this is the only B I have which was a result of being ill on exam day. I got an A in part II of the same course the next semester. 3. Is it worth throwing an app to Washington Biostat? Or is it aiming too high?
  3. Could someone please comment on the size of the Biostat departments at Columbia, Emory and Upenn? Are their cohort sizes reasonably large (likes of UNC, Michigan) or very small (like Brown, Berkeley)? I wasn’t able to find much about this on their websites. Thanks !
  4. I am an international student applying for PhD programs this year. I have taken Calculus, Linear Algebra ,Real Analysis and Computational Mathematics up to the undergrad level and don't have too many advanced math courses. Considering this, I know it would be better to aim for Biostats rather than Stats PhD programs. But I have also read several posts which mention that Biostats programs tend to not favor international students due to funding issues (NIH grants funding US citizens, etc.). Considering this, would it still be advisable to apply to Biostats over Stats ? I am mostly aiming for departments in the 20-40 range in US News. I had my profile evaluated a while ago, if that helps . Thanks !
  5. I’m a current student at Duke. Masters, not PhD, but I have done research here and can give you some insights. From all the professors you mentioned, Berger is no longer taking students ( his last student graduated in 2017) and Wolpert has very few students (only one that I know of). The only professor from your list(that I know of) who is actively taking students is West. Also, measure theory is a big thing here, particularly for the quals. If you need to know more about the department here, feel free to PM me.
  6. What are your opinions about Brown Biostats, Minnesota Stats, UT Austin Stats and some of the lower UCs, like UCI and UC Davis ? These seem to be mid-tiered on the US news list. I was wondering if their PhD programs are really small or if they are fair targets for my profile.
  7. Thanks for all the help. I was also wondering if I stand a better chance at Biostats than Stats, considering that my background is light on the pure math courses.
  8. Thanks for the reply ! Do you also think that NCSU Stats and UMich Biostats are a far shot ?
  9. I am an international student (Indian), planning to apply for PhD programs in Statistics/Biostatistics this October. I would really appreciate an evaluation of my profile and my chances of getting into some of the places I'm aiming for. Undergraduate Institution : In India (Not ISI/IIT) Major : Statistics GPA : 3.94; Major GPA : 4.0; WES Evaluated US Equivalent GPA : 3.98. Graduate Institution : Duke University (Masters in Statistical Science, will graduate this May) Graduate GPA : 3.97 Undergraduate Courses: I have a more courses in Statistics, and fewer in Mathematics. Math : Real Analysis (A), Logic and Set Theory (A), Calculus and Analysis I and II (Both A), Linear Algebra I and II (Both A), Computational Mathematics I and II (Both A). Stats : Probability and Sampling (A), Statistical Estimation(A), Analysis of Variance(A), Applied Statistics I, II, III, IV (All A), Stochastic Processes(A), Linear Models I and II (graduate level, fair amount of linear algebra, both A), Probability Theory I and II(graduate level, both A), Distribution Theory and Estimation I and II(graduate level, both A), Planning and Analysis of Experiments I and II (graduate level, both A). Graduate Courses at Duke : I took the recommended MS courses, I'm listing some here. Mathematical Statistics (A), Predictive Modeling (A), Bayesian and Modern Statistics(A-), Advanced Stochastic Modeling (A), Causal Inference (A), Spatio Temporal Modeling (A), Study Design (A), Probabilistic Machine Learning(ongoing). GRE General : V :162, Q:162, AWA :4.5. GRE Math: Not taken Research Experience : 1. Working since last summer with a senior professor at Duke for my MS thesis (relates to missing data), which will culminate into a first author paper by the time I apply (it will hopefully be in submission by then). 2. Working on a project in Biostatistics since October, but it is more on the data analysis side (analysis of repeated measures EHR data and mixed modeling). We will be submitting to a conference soon. 3. Another project in Statistical Genetics, also more on the data analysis side. I don't expect publications coming out of this. Schools : I will be choosing my schools primarily based on my research interests, which is missing data &/or causal inference, rather than departmental rankings. I would really like to know my chance of being admitted to the following schools (this is not a full list of schools, I'm just listing some dream schools) - UCLA Biostats, Duke Stats, NCSU Stats, UWash Biostats, Harvard Stats, UMich Biostats,UPenn Stats. I feel most of these are outside my reach, but would really like honest opinions of what schools I should target. Letters : I will be taking letters from my three research advisors from the 3 listed projects. Concerns : 1. My GRE Quant score. The first time I took it, I was ill on the test day, but still managed to get that much. I did not retake earlier since I thought the score would do for MS programs. 2. Math subject GRE. I have not taken it before and right now, I don't think I have the time to prep for it. I will be working full time at the time I apply. I would like to know if I should retake the general GRE and aim for a higher Quant score or spend time studying for the Math GRE. I don't think I can do both. Thanks.
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