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StatsG0d last won the day on May 24
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About StatsG0d

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Biostatistics

Your math background is extremely broad, and you've received a bunch of high grades in graduate level math courses. That said, it's hard to know how adcoms will view you because of your undergrad GPA and getting low grades in calculus / linear algebra, which are the two most important prerequisite courses in statistics / biostatistics. You will have to address these discrepancies in your SOP. Given your math background, I recommend that you take the math subject GRE. I think you could do quite well on it, and if you do, no one is going to care about your undergrad grades as a lot of mater

Ph.D. in Statistics Profile Evaluation for Fall 2022
StatsG0d replied to minhbui's topic in Mathematics and Statistics
I don't think biostats is more competitive than stats. Probably more the contrary. Very few students have any relevant research experience coming in. To me, it sounds like your research experience does relate to biostats, as high dimensional data is common (e.g., genomics) and so is shrinkage (e.g., Bayesian analysis). To formulate your interests, I recommend you read some papers or just google some fields that are popular in biostatistics and relate to the branch of statistics you are interested in, e.g. Computation  genomics Machine learning  precision medicine Spati 
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Ph.D. in Statistics Profile Evaluation for Fall 2022
StatsG0d replied to minhbui's topic in Mathematics and Statistics
If you are interested in applied statistics, I don't think UPenn would be a very good fit. The other schools on your list seem reasonable (maybe not Iowa state though). Have you considered biostatistics? I think you would have a very strong profile. 
Ph.D. in Biostats Profile Evaluation for Fall 2022
StatsG0d replied to noquanjude's topic in Mathematics and Statistics
Although your GPA is quite low, you have several published manuscripts and your math background is very deep. I think you have a shot at the schools in the 510 range. I would apply to all of those (replacing your least 5 favorite schools in the above), and see what happens. Most of the programs you listed are very unknown. It's not clear they would want someone who appears equipped to be a methodologist, as many of these programs are applied. If applications are your interest, I would clearly state this on your SOP, because based on your math background I would think you would want to b 
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Biostatistics PhD profile evaluation  Fall 2022
StatsG0d replied to LeoStat's topic in Mathematics and Statistics
I agree if the OP meant stats departments then they should apply to those. I assumed they meant biostats 
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The problem with NYU and Northwestern is that both programs are highly selective relative their ranking. This is typically because some international students care more about university prestige rather than departmental prestige. The other schools don't seem bad. If being in a somewhat large metro area is important to you, you can apply to some of the larger programs in those areas such as NCSU (downtown Raleigh), OSU (Columbus, OH), Minnesota (Minneapolis, but cold). Some of the larger state schools in smaller areas tend to have really sophisticated bus systems that can get you around r

Biostatistics PhD profile evaluation  Fall 2022
StatsG0d replied to LeoStat's topic in Mathematics and Statistics
I think you're selling yourself really short. First, I wouldn't bother applying to UCSD, TAMU, Rutgers, or Rice. NCSU doesn't have a PhD in biostatistics, although they do have a Biostatistics concentration in their Statistics department. Also, not sure if UW refers to Wisconsin or Washington. You're competitive for any of the biostats programs in the top5. In fact, I would be shocked if you didn't at least get into one of UNC or Michigan. I would say apply to all the top7 biostats programs and maybe those Canadian schools if you're interested. I'd maybe add McGill if you're interested 
It's really hard to say. Typically, a lot of nonUS universities have sort of a pipeline with various USbased PhD programs. If yours doesn't have that, it's honestly a crapshoot. Your best bet is to apply to schools that tend to admit a lot of international students (e.g., University of Florida comes to mind). There are probably many others, but that's the one I know for sure tends to admit many international students. Browse this forumI'm positive others have mentioned other programs.

Profile Evaluation  Phd Math 2022
StatsG0d replied to aldoraine's topic in Mathematics and Statistics
You should check out mathematicsgre.com, as this forum is really biased more towards statistics than math. 
It's possible (and highly likely) that the other students had already taken the course (e.g., in undergrad). You definitely need to take real analysis for stats. You *might* be able to get away without taking it if you're doing biostats (although, this is becoming less common at the top 57 programs, as the field is becoming more competitive). Even if you managed to get into a program without taking analysis, you would have wished that you'd taken it. Even in CasellaBerger level Math Stats, real analysis is very useful for making mathematically rigorous arguments / proofs. I feel like yo

Best PhD programs for Causal Inference
StatsG0d replied to forthorn's topic in Mathematics and Statistics
This is exactly what I was trying to say regarding Kosorok vs. Hudgens and causal inference / precision medicine above, but is a more elegant and general answer. Couldn't agree more. I totally agree with you, but I figured I'd let the OP decide / figure out which programs are suitable. 
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Best PhD programs for Causal Inference
StatsG0d replied to forthorn's topic in Mathematics and Statistics
It's a fair question. To me, most of causal inference is concerned with identifying a population average treatment effect (typically not adjusted for covariates), while precision medicine is mostly concerned with which treatment for which individual at what time. Most of traditional causal inference utilizes classical statistical techniques (e.g., regression, GLM, etc.), albeit with some adjustments to account for confounding. In causal inference, it's really important to prove things such as consistency and asymptotic normality. In precision medicine, a lot of the methods are more machin 
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Best PhD programs for Causal Inference
StatsG0d replied to forthorn's topic in Mathematics and Statistics
If you have the prerequisites, epi and econometrics are good disciplines for causal inference research as well. 
Best PhD programs for Causal Inference
StatsG0d replied to forthorn's topic in Mathematics and Statistics
Kosorok really works more in precision medicine, which is kind of a special case of causal inference. Hudgens works in causal inference with a focus on interference (i.e., when one individual receiving treatment impacts the probability that another individual receives treatment). A lot of faculty in the Epi department at UNC works in causal inference theory (e.g., Stephen Cole).