Rose, Sherri

TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods

Collins, G. S., Moons, K. G. M., Dhiman, P., Riley, R. D., Beam, A. L., Van Calster, B., Ghassemi, M., Liu, X., Reitsma, J. B., van Smeden, M., et al. (2024) · BMJ

Meta-analysis and systematic reviewsStatistical Methods in Epidemiology

Cited by 4,718

Ethical Machine Learning in Healthcare

Chen, I. Y., Pierson, E., Rose, S., Joshi, S., Ferryman, K., & Ghassemi, M. (2021) · Annual Review of Biomedical Data Science

Ethics and Social Impacts of AIArtificial Intelligence in Healthcare and Education

Cited by 645

Predicting Suicides After Psychiatric Hospitalization in US Army Soldiers: The Army Study to Assess Risk and Resilience in Servicemembers (Army STARRS)

Kessler, R. C., Warner, C. H., Ivany, C., Petukhova, M. V., Rose, S., Bromet, E. J., Brown, M., Cai, T., Colpe, L. J., Cox, K. L., et al. (2015) · JAMA Psychiatry

Suicide and Self-Harm StudiesPsychiatric care and mental health services

Cited by 447

The STARD-AI reporting guideline for diagnostic accuracy studies using artificial intelligence

Sounderajah, V., Guni, A., Liu, X., Collins, G. S., Karthikesalingam, A., Markar, S. R., Golub, R. M., Denniston, A. K., Shetty, S., Moher, D., et al. (2025) · Nature Medicine

Meta-analysis and systematic reviewsArtificial Intelligence in Healthcare and Education

Cited by 352

Why Match? Investigating Matched Case-Control Study Designs with Causal Effect Estimation

Rose, S., & van der Laan, M. J. (2009) · The International Journal of Biostatistics

Advanced Causal Inference TechniquesStatistical Methods in Epidemiology

Cited by 293

How well can post-traumatic stress disorder be predicted from pre-trauma risk factors? An exploratory study in the WHO World Mental Health Surveys

Kessler, R. C., Rose, S., Koenen, K. C., Karam, E. G., Stang, P. E., Stein, D. J., Heeringa, S. G., Hill, E. D., Liberzon, I., McLaughlin, K. A., et al. (2014) · World Psychiatry

Posttraumatic Stress Disorder ResearchMigration, Health and Trauma

Cited by 255

Mortality Risk Score Prediction in an Elderly Population Using Machine Learning

Rose, S. (2013) · American Journal of Epidemiology

Statistical Methods and InferenceMachine Learning in Healthcare

Cited by 193

Predicting suicides after outpatient mental health visits in the Army Study to Assess Risk and Resilience in Servicemembers (Army STARRS)

Kessler, R. C., Stein, M. B., Petukhova, M. V., Bliese, P., Bossarte, R. M., Bromet, E. J., Fullerton, C. S., Gilman, S. E., Ivany, C., Lewandowski-Romps, L., et al. (2017) · Molecular Psychiatry

Suicide and Self-Harm StudiesMachine Learning in Healthcare

Cited by 163

Reflection on modern methods: when worlds collide—prediction, machine learning and causal inference

Blakely, T., Lynch, J., Simons, K., Bentley, R., & Rose, S. (2021) · International Journal of Epidemiology

Advanced Causal Inference TechniquesStatistical Methods in Epidemiology

Cited by 98

Advancing primary care with Artificial Intelligence and Machine Learning

Yang, Z., Silcox, C., Sendak, M., Rose, S., Rehkopf, D., Phillips, R., Peterson, L., Marino, M., Maier, J., Lin, S., et al. (2022) · Healthcare

Artificial Intelligence in Healthcare and EducationArtificial Intelligence in Healthcare

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A Double Robust Approach to Causal Effects in Case-Control Studies

Rose, S., & van der Laan, M. (2014) · American Journal of Epidemiology

Advanced Causal Inference TechniquesStatistical Methods in Epidemiology

Cited by 26