

allopathic seniors who matched to their preferred specialty in the 2016 main residency match. allopathic seniors: characteristics of U.S. NRMP Charting outcomes in the match for U.S. NRMP Charting outcomes in the match: characteristics of applicants who matched to their preferred specialty in the 2014 main residency match. Attracting future radiation oncologists: an analysis of the national resident matching program data trends from 2004 to 2015. NRMP Results and data: 2017 main residency match. SDN claims no afliation with this external spreadsheet, nor does it claim any credit for what is posted therein. The spreadsheet was developed, designed, and maintained by radiation oncology residency applicants without the inuence of SDN. Radiation oncology applicant match online database student doctor network. SDN has no control or ownership of the referenced Google Docs spreadsheet. In summary, this study identifies important considerations for radiation oncology applicants that have not been previously reported, such as induction into AOA and number of journal publications. On multivariate analysis, alpha-omega-alpha (AOA) honors society status (p=0.033), participating in a research year (p=0.001) and number of journal publications (p=0.047) significantly correlated with higher interview invitation rates. The majority of applicants took three radiation oncology electives (48.7%). 21.7% participated in additional research year(s), and 19% obtained a PhD. The mean step 1 score was 248 (range: 198 to 272) and most were in the highest grade point average quartile (68.3%). Applicants applied to a median of 61 programs and received a median of 14 interviews. A total of 158 applicants were examined for the applicant characteristics. When possible, results were compared to those reported in the National Residency Match Program's "Charting Outcomes" report. Mann-Whitney U, Kruskal-Wallis, and chi-square tests were used for statistical analysis. Board scores, research characteristics, Sub-I participation, and interview invitation rates were available. A retrospective analysis of "RadOnc Interview Spreadsheet" for the 2015, 2016, and 2017 radiation oncology match was performed. We analyzed factors associated with a successful match using this dataset to test the hypothesis that research productivity and high academic performance correlates with success rates. A significant proportion of applicants record their experiences in an anonymous, self-reported applicant spreadsheet. 2018-2019 Rad Onc Ranking & Interviews Spreadsheet Student Doctor Network Forums Physician and Resident Communities (MD / DO) Radiation Oncology 2018-2019 Rad Onc Ranking & Interviews Spreadsheet roapplicantspreadsheet This forum made possible through the generous support of SDN members, donors, and sponsors.

However, many variables are not reported in Charting Outcomes that may influence an applicant's ability to match. The Charting Outcomes resource is useful in gauging an applicant's competiveness for a given specialty.
