Davidson, Karina W.

Sequential Multiple Assignment Randomized Trial (SMART) with Adaptive Randomization for Quality Improvement in Depression Treatment Program

Cheung, Y. K., Chakraborty, B., & Davidson, K. W. (2015) · Biometrics

Advanced Causal Inference TechniquesStatistical Methods in Clinical Trials

Cited by 55

Psychologic factors as precursors to hypertension

Markovitz, J. H., Jonas, B. S., & Davidson, K. (2001) · Current Hypertension Reports

Blood Pressure and Hypertension StudiesCardiac Health and Mental Health

Cited by 54

Understanding heterogeneity of responses to, and optimizing clinical efficacy of, exercise training in older adults: NIH NIA Workshop summary

Erickson, M. L., Allen, J. M., Beavers, D. P., Collins, L. M., Davidson, K. W., Erickson, K. I., Esser, K. A., Hesselink, M. K. C., Moreau, K. L., Laber, E. B., et al. (2023) · GeroScience

Cardiovascular and exercise physiologyPhysical Activity and Health

Cited by 47

Confluence of Depression and Acute Psychological Stress Among Patients With Stable Coronary Heart Disease: Effects on Myocardial Perfusion

Burg, M. M., Meadows, J., Shimbo, D., Davidson, K. W., Schwartz, J. E., & Soufer, R. (2014) · Journal of the American Heart Association

Cardiac Health and Mental HealthCardiac Imaging and Diagnostics

Cited by 42

Using rigorous methods to advance behaviour change science

Sumner, J. A., Carey, R. N., Michie, S., Johnston, M., Edmondson, D., & Davidson, K. W. (2018) · Nature Human Behaviour

Behavioral Health and InterventionsBehavioral and Psychological Studies

Cited by 38

Validation of the Fitbit One® for physical activity measurement at an upper torso attachment site

Diaz, K. M., Krupka, D. J., Chang, M. J., Shaffer, J. A., Ma, Y., Goldsmith, J., Schwartz, J. E., & Davidson, K. W. (2016) · BMC Research Notes

Physical Activity and HealthContext-Aware Activity Recognition Systems

Cited by 29

Using Machine Learning to Derive Just-In-Time and Personalized Predictors of Stress: Observational Study Bridging the Gap Between Nomothetic and Ideographic Approaches.

Rozet, A., Kronish, I. M., Schwartz, J. E., & Davidson, K. W. (2019) · Journal of Medical Internet Research

Mental Health Research TopicsEmotion and Mood Recognition

Cited by 28

Psychosocial vulnerabilities to depression after acute coronary syndrome: the pivotal role of rumination in predicting and maintaining depression

Denton, E.-G. D., Rieckmann, N., Davidson, K. W., & Chaplin, W. F. (2012) · Frontiers in Psychology

Cardiac Health and Mental HealthAnxiety, Depression, Psychometrics, Treatment, Cognitive Processes

Cited by 20

Development and validation of self-monitoring auto-updating prognostic models of survival for hospitalized COVID-19 patients

Levy, T. J., Coppa, K., Cang, J., Barnaby, D. P., Paradis, M. D., Cohen, S. L., Makhnevich, A., van Klaveren, D., Kent, D. M., Davidson, K. W., et al. (2022) · Nature Communications

Machine Learning in HealthcareCOVID-19 Clinical Research Studies

Cited by 14

Racial and Ethnic Minority Patient Participation in N-of-1 Trials: Perspectives of Healthcare Providers and Patients

Marrast, L., Conigliaro, J., Chan, C., Kim, E. J., Duer-Hefele, J., Diefenbach, M. A., & Davidson, K. W. (2021) · Personalized Medicine

Ethics in Clinical ResearchStatistical Methods in Clinical Trials

Cited by 6

A Systematic Review and Meta-analysis of Externally Validated Epic Clinical Decision Support Tools

Patel, H., Crusco, S., Hansen, D., Morales, J., Patale, T., Chiuzan, C., Sands, M., Naidich, J., Myers, K., Davidson, K. W., et al. (2026) · Journal of General Internal Medicine

Electronic Health Records SystemsMachine Learning in Healthcare

Cited by 4