A review of self-exciting spatio-temporal point processes and their applications A Reinhart Statistical Science 33 (3), 299-318, 2018 | 236 | 2018 |
Statistics done wrong: The woefully complete guide A Reinhart No Starch Press, 2015 | 195 | 2015 |
The US COVID-19 Trends and Impact Survey: Continuous real-time measurement of COVID-19 symptoms, risks, protective behaviors, testing, and vaccination JA Salomon, A Reinhart, A Bilinski, EJ Chua, W La Motte-Kerr, MM Rönn, ... Proceedings of the National Academy of Sciences 118 (51), 2021 | 139 | 2021 |
Time trends, factors associated with, and reasons for COVID-19 vaccine hesitancy: A massive online survey of US adults from January-May 2021 WC King, M Rubinstein, A Reinhart, R Mejia PloS one 16 (12), e0260731, 2021 | 123* | 2021 |
COVID-19 vaccine hesitancy January-May 2021 among 18–64 year old US adults by employment and occupation WC King, M Rubinstein, A Reinhart, R Mejia Preventive medicine reports 24, 101569, 2021 | 83 | 2021 |
Self-exciting point processes with spatial covariates: modeling the dynamics of crime A Reinhart, J Greenhouse Journal of the Royal Statistical Society: Series C 67 (5), 1305-1329, 2018 | 80 | 2018 |
An open repository of real-time COVID-19 indicators A Reinhart, L Brooks, M Jahja, A Rumack, J Tang, S Agrawal, W Al Saeed, ... Proceedings of the National Academy of Sciences of the United States of …, 2021 | 56 | 2021 |
Sequential nonparametric tests for a change in distribution: an application to detecting radiological anomalies OH Madrid Padilla, A Athey, A Reinhart, JG Scott Journal of the American Statistical Association 114 (526), 514-528, 2019 | 35 | 2019 |
Think-aloud interviews: A tool for exploring student statistical reasoning A Reinhart, C Evans, A Luby, J Orellana, M Meyer, J Wieczorek, P Elliott, ... Journal of Statistics and Data Science Education 30 (2), 100-113, 2022 | 28 | 2022 |
Multiscale spatial density smoothing: an application to large-scale radiological survey and anomaly detection W Tansey, A Athey, A Reinhart, JG Scott Journal of the American Statistical Association 112 (519), 1047-1063, 2017 | 28 | 2017 |
Expanding the scope of statistical computing: Training statisticians to be software engineers A Reinhart, CR Genovese Journal of Statistics and Data Science Education 29 (sup1), S7-S15, 2021 | 11 | 2021 |
Detecting changes in maps of gamma spectra with Kolmogorov–Smirnov tests A Reinhart, V Ventura, A Athey Nuclear Instruments and Methods in Physics Research Section A: Accelerators …, 2015 | 10 | 2015 |
Spatially-aware temporal anomaly mapping of gamma spectra A Reinhart, A Athey, S Biegalski IEEE Transactions on Nuclear Science 61 (3), 1284-1289, 2014 | 8 | 2014 |
Visualizing formative feedback in statistics writing: An exploratory study of student motivation using DocuScope Write & Audit M Laudenbach, DW Brown, Z Guo, S Ishizaki, A Reinhart, G Weinberg Assessing Writing 60, 100830, 2024 | 3 | 2024 |
Big data, big problems: Responding to "Are we there yet?" A Reinhart, R Tibshirani arXiv preprint arXiv:2109.00680, 2021 | 3 | 2021 |
Point Process Modeling with Spatiotemporal Covariates for Predicting Crime A Reinhart Carnegie Mellon University, 2018 | 3 | 2018 |
Response to "Crime Places in Context" A Reinhart Journal of Quantitative Criminology 32 (4), 723, 2016 | 3 | 2016 |
Bias-adjusted predictions of county-level vaccination coverage from the COVID-19 Trends and Impact Survey MB Reitsma, S Rose, A Reinhart, JD Goldhaber-Fiebert, JA Salomon Medical Decision Making 44 (2), 175-188, 2024 | 2 | 2024 |
Predicting COVID-19 case status from self-reported symptoms and behaviors using data from a massive online survey M Srivastava, A Reinhart, R Mejia medRxiv, 2023.02. 03.23285405, 2023 | 1 | 2023 |
The next step: A spatiotemporal statistical model of the birth and death of crime hot spots A Reinhart, DS Nagin Jerusalem Review of Legal Studies 15 (1), 55-60, 2017 | 1 | 2017 |