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carrrll

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  1. I dont really know. This is my first post. So I may have made some mistakes
  2. That's very helpful. Thanks!
  3. Thanks for your post. Is that possible for me to get into non-prestige biostat PHD programs? Is there any universities you may think of I have some chance to get in? Thank you so much
  4. Thank you so much for your suggestion. It is very helpful. I was thinking do more theoretical courses in UK. But, it turns out I can not do that here...
  5. Hi all, This is my first post in Gradcafe. I appreciate if you guys can give me some suggestions on choosing schools for my PHD. Type of Student: Asian Male Undergrad Institution: UIUC Major: Statistics GPA: 3.32 Math/Statistics Grades: Applied Linear Algebra, Applied Regression and Design, Basics of Statistical Learning, Advanced Data Analysis, Intro to Mathematical thinking, Method of Applied Statistics, Statistical Computing, Statistical Data Management, Statistics and Probability I, Statistics and Probability II, Calculus I, II, III. Graduate Institution: University of Warwick(UK) Major: Statistics GPA: 4.0 Math/Statistics Grades: Medical Statistics, Designed Experiment, Advanced topics in Data Science, Bayesian Statistics and Decision Theory, Statistical Method, Statistical Practice, Multivariate Statistics, Data Mining. Additional Info: 6 months dissertation doing research on Bayesian model selection GRE General Test: Q: 167 V: 155 W: 3 Programs Applying: Biostatistics/Statistics  Research Experience: none Letters of Recommendation: One from dissertation research supervisor, one from course lecturer, one from Internship supervisor Coding Skills: R , python, SAS, SPSS Concerns: My math background is really bad, and I did not take any high level math course since my undergrad department is more applied and job oriented. And I was going to work after I graduate from undergrad, and I took a lot of applied course. I was hoping I can go to work in pharmaceutical industry as a SAS programmer. But I realized it is not what I want. And I am working on a 20000 words dissertation doing research on Bayesian model selection. That would be my only real research experience. Lack of math background and research experience would be a big minus. I studied a lot of data mining, machine learning and deep learning techniques. But I do not think that is useful. Any help would be greatly appreciated !!!
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