randata

I also haven't really heard back from a lot of programs, but I'm thinking of it as being somewhat good news? Because silence isn't a "no"; you're still in the running, so to speak. I was rejected from some very competitive summer programs last year and the one where I had the highest chances took the longest to turn me down.

I got hit hard by some warm and fuzzy feelings, so... To all my fellow applicants, and especially to the future members of my graduate cohort: December has arrived and with it comes the deadline for many of the programs we hope to attend next fall. Congratulations on all of your hard work not only throughout the application process, but in all of your preparations to make yourself a good candidate! It's been nerve-wracking, but we're stressed because we care about the field and our future in it–I think your passion will be reflected in your statements and in the academic life you're presenting to the faculty of these programs. We'll work through our rejections and come out better for it, even if that means trying again next year. I hope that the programs we attend are our best fits and in a community that we'll love. To any and all faculty members now tasked with admitting students: Us applicants may be feeling some relief, but I know you still have the work of evaluating our applications and making the difficult judgement calls that come with that territory. I hope the process is as hassle free as possible and that the best candidates for your program are easy to find. Good luck and godspeed! It's finally that time of year again: Season's Greetings! And my best wishes for a good new year to all of you! ?

I'm not having an issue with the link, but here it is on Dropbox: biostatistics-dataGT.csv

Thank you very much for your input! It was very helpful for finalizing my list of schools. Other Updates Letters of Recommendation: All three confirmed, 1/3 submitted to all programs Updated GRE scores: 167Q, 164V, 4.0W

This may be helpful to you: GRE General Test Interpretive Data Guide from ETS The scores are correlated, and the correlations are published: "The correlation between Verbal Reasoning and Quantitative Reasoning scores is.35, the correlation between Verbal Reasoning and Analytical Writing scores is.68, and the correlation between Quantitative Reasoning and Analytical Writing scores is.16."

Thank you for your recommendations. My biostatistics professors have agreed to write letters for me and I went ahead and asked my Probability professor. Do you have any advice regarding what "tier" of program should I be aiming for?

I know I want to apply to Emory and my home institution. Otherwise I'm not quite sure what would be good safeties/reaches for me. I know I want to apply to JH and UNC as reach schools.

Here are the functions: GCDataFunctions.R And examples: GCDataExamples.R There's a few other packages you'll need to install. However, you will need to download and install the brewdata package a little differently. It's archived so install.packages("brewdata") won't work anymore.

I'm going to have to clean up the code a bit and will post it later, but until then I ran it on "statistics" . Here's that data: statistics-dataGT.csv The file's on Dropbox because it's over the file limit. I mostly modified the code to work specifically for biostatistics, so these results are not as clean.

I'm currently attending the University of Louisville.

Undergrad/grad Institution: large public university Major: Biology-Cellular/Physiology Track (BS), Mathematics (BA) Minors: Global Public Health GPA: 3.82 (Biology: 3.58, Math 3.93) Type of Student: Domestic Relevant Courses: Transfer from HS (Dual Credit): Computer Science, Advanced Computational Problem Solving, Calculus I, Calculus II, Bioinformatics, Molecular & Cellular Biology, Genetics Undergrad Biostatistics (A), Adv Biostatistics* (A), Adv Biostatistics II* (A), Intro to Biostatistics - SIBS* (A), Calculus III (A+), Linear Algebra (A), Intro to Higher Math (A-), Probability (A), Real Analysis (A); numerous biology courses, chemistry courses (through organic II), and public health courses *graduate level, used R and/or SAS Courses in progress: Modeling qPCR Curves (independent study/undergraduate research with biostatistics professor, R programming), Discrete Math, Math Statistics GRE: 166V, 164Q, 3.5W (will be retaking now that ETS confirmed accommodations) Programs Applying: Biostatistics PhD Research Experience: Bioinformatics (Past): annotated a section of a virus genome – results in GenBank research project on virus distribution – used Mathematica, resulted in 2 poster presentations Current: qPCR curve modeling - using R, modeling curve in order to predict absolute starting concentration of template DNA from raw fluorescence values Teaching Experience: Tutor for microbiology and biostatistics at university tutoring center Pertinent Activities or Jobs: ASA member - attended JSM for the last two years Recommendation Letters: Will be asking this week: biostats professor (with whom I am currently working on research), director of the biostats summer program I attended (who offered to write one), calculus 3 professor Coding Experience: R, Mathematica, Bash, SAS, Java, dabbling in others Other: LaTeX (I typeset all of my math homework), virtual machines, porting Windows software to Unix systems Definitely Applying to: Emory University (SIBS) grad program at home institution I am particularly wondering about what "tiers" of programs I should apply to (which programs would be "safeties", reaches, etc.) and whether there are any programs that would be interested in applicants with extensive biology background. Any recommendations regarding my profile are greatly appreciated!

I revived and modified some code from the archived R package brewdata to get that info in a more usable format. I thought maybe others would find it useful, so here's all the admissions data for submissions that had at least GPA or GRE quant scores. biostatistics-dataGT.csv