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rogarr

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  1. Thanks a lot! Biostat is a legit option for me since I'm very interested in causal inference as of right now and I think there are more focus on them in biostat departments. I noticed that many biostat program prefer taking bio classes, do you think thats a necessity? Also, I'd like to ask how hard would it be if I go to a biostat program and want to go to industries other than bio related, finance for example. I'd be happy to focus on biostat for PhD but I don't know if that what I want to do for life.
  2. Thanks a lot! The grad classes are a combination of both phd and master classes. Biostat is definitely one of my interest and I'll consider to apply more biostat rather than stat. I have pretty good relationship with two of my recommenders (the one from penn finance and another one who also recently graduated from penn and was on cmu admission couple years ago and he doesn't think my real analysis grade would be a great problem but i'm not sure) and both should be strong recommendations (part of the reason I'm having penn as my top choice). I'll thinking about taking the GRE math but I always feel like my math ability is not that strong so I'm pretty worried about stat phd programs in general. Also what biostat programs should I aim for? I'd like to stay in the east coast preferably northeast and in somewhat bigger city (given i have spent four years in a small town for undergrad). Anyway really appreciate your advice!
  3. Hi all! I want to apply for PhD in statistics next fall and would like to have some advice. Thanks a lot in advance! Undergrad: Top 25 undergrad (US News) Major(s): Statistics & Mathematics GPA: 3.93 (for now, probably will be 3.9ish when applying. Background: International Male Asian Courses taken (A unless stated otherwise): Undergrad class: Calculus III, Linear Algebra(A+), ODE, Stochastic Process, Probability, Regression Analysis, Basic Real Analysis(this might be a B or B+, just having hard time to understand analysis and I know it might be a great deal at admission), Stat Machine Learning, Independent Study: Causal Inference, a R programming class, Game Theory, Intro to Math Stat Grad class: Applied Linear Model, Intro to Math Stat Courses planned: Undergrad class: Survey of algebra, Advanced Probability (still thinking about it), Advanced Linear Algebra (still thinking about it), Nonparametric stat, Experimental Design Grad class: Longitudinal Data Analysis, Applied Time Series, Experimental Design, Applied Multivariate Stat, Linear Model, Stat Machine Learning, Survival Analysis(if provided) GRE: Haven't started yet but aiming for a 330 combined. Programs Applying: Statistics and biostat Research Experience: One summer REU at CMU on stochastic method in sport analytics Two financial statistics/machine learning (with a professor from penn finance) One project on bayesian propensity score (with faculty from psyc) Other Experience: TA for the R programming class Letters of Recommendation: 2 stat professor, 1 from a research advisor from penn Intended Schools(just some I'm thinking about right now): Wharton stat(my top choice), CMU stat, Yale Stat, Columbia stat, penn biostat, UW stat and biostat, Chicago stat I think this list is probably all reach for me, so I'd like to have some advice on what other school I should be considering applying to. Any suggestions are appreciated! Thanks again!
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