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SeekDirection

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  1. Thanks for your thoughts. I will surely consider all the factors mentioned. FYI both of the offers I got from McGill and FSU are funded.
  2. Thanks for your reply. Yes I got a full-funded offer from McGill for the PhD program and I also managed supervisors there who work on Bayesian inference. I initially contacted Dr. Moodie but currently she does not have a position for a new student unfortunately. My supervisor at FSU has not been determined yet. In this case, should I only compare these two programs based on the faculty profiles? Again are the biostat programs at FSU and McGill more theoretical or applied? Any suggestion will be very helpful.
  3. Hello everyone, It is a bit late for making decisions but I have been recently admitted in the PhD Biostatistics program at McGill (Canada) and FSU (USA). There are several factors I need to consider before making a decision. I don't have much idea about the FSU biostat program; however, since it is under their Stat department I am assuming this program might be strong. On the other hand the McGill biostat is also good but I don't know how I can compare it with the FSU biostat. My research interests are Bayesian, Causal inference, Longitudinal and Survival analysis. I also have not decided whether I want to pursue a career in academia or industry, but I am leaning more towards industry. It would be greatly appreciated if I can get any idea about the relative strength of these two programs and the career prospects after completing PhD there. Thanks!
  4. Type of Student: International south asian Undergrad and grad Institution: Top public university in Bangladesh Major: Applied Statistics GPA: 3.97 , class topper (BSc) GPA: 4.00 , class topper (MSc) GRE General Test: 152 V/ 163 Q/ 4.0 AWA IELTS: 8.0 overall Programs Applying: Statistics/ Biostatistics PhD Research Experience: 1. One project on structural equation modeling with application in econometrics ( published) 2. Thesis on bias reduction with penalized likelihood approach for small or rare event data in AFT models (under review) Teaching experience: Lecturer at a university Awards/Honors/Recognitions: Dean's award, CASc (ISCB41), CFDC (ISCB40), other departmental awards Letters of Recommendation: Two from my project and thesis supervisors, one from one of my professors Math/Statistics Grades: Calculus (A+), Real Analysis (A+), Mathematical Analysis (A+), Basic and Linear Algebra (A+), Statistics (A+), Probability (A+), Statistical Inference I (A+), Statistical Inference II (A+), Regression (A+), Multivariate analysis (A+), Design of Experiments (A+), Econometrics (A+), Generalised Linear models (A+), Bayesian Statistics (A+), Survival Analysis (A+), Longitudinal data analysis (A+), Machine Learning (A+) Programming/ Software skills: R, STATA, MATLAB, Python (basic) Research Interest: Mixed effect models, Survival analysis, Statistical Learning, High dimensional data analysis Note: Weak points: GRE scores (though not planning to retake), limited research experience Schools: I am confused about the competitiveness of my profile for stat/biostat PhD as an international student. Any suggestion about the range of schools I might have a good shot at would be very helpful. Here are some schools I am planning to apply, 1. JHU (Biostat) 2. Upitt (Biostat) 3. Uflorida (Stat) 4. Purdue (Stat) 5. TAMU (Stat) 6. UCI (Stat) 7. UCSB (Stat) 8. UMass amherst (Stat)
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