| Targeted learning: causal inference for observational and experimental data M van der Laan, S Rose Springer Series in Statistics [BOOK], 2011 | 1222 | 2011 |
| Predicting suicides after psychiatric hospitalization in US Army Soldiers: the Army Study to Assess Risk and Resilience in Servicemembers (Army STARRS) RC Kessler, CH Warner, C Ivany, MV Petukhova, S Rose, EJ Bromet, ... JAMA psychiatry, 2015 | 398 | 2015 |
| Implementation of G-computation on a simulated data set: demonstration of a causal inference technique JM Snowden, S Rose, KM Mortimer American Journal of Epidemiology 173 (7), 731-738, 2011 | 326 | 2011 |
| How well can post‐traumatic stress disorder be predicted from pre‐trauma risk factors? An exploratory study in the WHO World Mental Health Surveys RC Kessler, S Rose, KC Koenen, EG Karam, PE Stang, DJ Stein, ... World Psychiatry 13 (3), 265-274, 2014 | 292 | 2014 |
| Why match? Investigating matched case-control study designs with causal effect estimation S Rose, MJ Van Der Laan The International Journal of Biostatistics 5 (1), 1, 2009 | 282 | 2009 |
| Changes in Health Care Spending and Quality 4 Years into Global Payment Z Song, S Rose, DG Safran, BE Landon, MP Day, ME Chernew New England Journal of Medicine 371 (18), 1704-1714, 2014 | 251 | 2014 |
| Targeted Maximum Likelihood Estimation for Causal Inference in Observational Studies MS Schuler, S Rose American Journal of Epidemiology, 2017 | 238 | 2017 |
| Targeted Learning in Data Science: Causal Inference for Complex Longitudinal Studies M van der Laan, S Rose Springer Series in Statistics [BOOK], 2018 | 209* | 2018 |
| Ethical Machine Learning in Healthcare IY Chen, E Pierson, S Rose, S Joshi, K Ferryman, M Ghassemi Annual Review of Biomedical Data Science, 2021 | 205 | 2021 |
| Mortality risk score prediction in an elderly population using machine learning S Rose American Journal of Epidemiology 177 (5), 443-452, 2013 | 180 | 2013 |
| Rapid Growth In Mental Health Telemedicine Use Among Rural Medicare Beneficiaries, Wide Variation Across States A Mehrotra, HA Huskamp, J Souza, L Uscher-Pines, S Rose, BE Landon, ... Health Affairs 36 (5), 909-917, 2017 | 161 | 2017 |
| How Is Telemedicine Being Used In Opioid And Other Substance Use Disorder Treatment? HA Huskamp, AB Busch, J Souza, L Uscher-Pines, S Rose, A Wilcock, ... Health Affairs 37 (12), 1940-1947, 2018 | 142 | 2018 |
| Super learning EC Polley, S Rose, MJ Van der Laan Targeted Learning: Springer, 43-66, 2011 | 134 | 2011 |
| Challenges in adapting existing clinical natural language processing systems to multiple, diverse health care settings DS Carrell, RE Schoen, DA Leffler, M Morris, S Rose, A Baer, SD Crockett, ... Journal of the American Medical Informatics Association, 2017 | 86 | 2017 |
| A machine learning framework for plan payment risk adjustment S Rose Health services research 51 (6), 2358-2374, 2016 | 77 | 2016 |
| Ensuring the comparability of comparison groups: is randomization enough? VW Berger, S Rose Controlled clinical trials 25 (5), 515-524, 2004 | 75 | 2004 |
| Machine Learning for Prediction in Electronic Health Data S Rose JAMA Network Open 1 (4), e181404-e181404, 2018 | 73 | 2018 |
| Association Between Broadband Internet Availability and Telemedicine Use AD Wilcock, S Rose, AB Busch, HA Huskamp, L Uscher-Pines, B Landon, ... JAMA internal medicine 179 (11), 1580-1582, 2019 | 71 | 2019 |
| A Review of Generalizability and Transportability I Degtiar, S Rose Annual Review of Statistics and Its Application, 2023 | 69 | 2023 |
| Reflection on modern methods: when worlds collide—prediction, machine learning and causal inference T Blakely, J Lynch, K Simons, R Bentley, S Rose International Journal of Epidemiology 49 (6), 2058–2064, 2020 | 69 | 2020 |
