Moorman, J. Randall

Physiological time-series analysis using approximate entropy and sample entropy

Richman, J. S., & Moorman, J. R. (2000) · American Journal of Physiology-Heart and Circulatory Physiology

Heart Rate Variability and Autonomic ControlComplex Systems and Time Series Analysis

Cited by 7,880

Control of confounding and reporting of results in causal inference studies. Guidance for authors from editors of respiratory, sleep, and critical care journals

Lederer, D. J., Bell, S. C., Branson, R. D., Chalmers, J. D., Marshall, R., Maslove, D. M., Ost, D. E., Punjabi, N. M., Schatz, M., Smyth, A. R., et al. (2019) · Annals of the American Thoracic Society

Advanced Causal Inference TechniquesStatistical Methods in Epidemiology

Cited by 715

Development and Reporting of Prediction Models: Guidance for Authors From Editors of Respiratory, Sleep, and Critical Care Journals

Leisman, D. E., Harhay, M. O., Lederer, D. J., Abramson, M., Adjei, A. A., Bakker, J., Ballas, Z. K., Barreiro, E., Bell, S. C., Bellomo, R., et al. (2020) · Critical Care Medicine

Statistical Methods in EpidemiologyMeta-analysis and systematic reviews

Cited by 271

Signatures of Subacute Potentially Catastrophic Illness in the ICU: Model Development and Validation*

Moss, T. J., Lake, D. E., Calland, J. F., Enfield, K. B., Delos, J. B., Fairchild, K. D., & Moorman, J. R. (2016) · Critical Care Medicine

Sepsis Diagnosis and TreatmentHealthcare Technology and Patient Monitoring

Cited by 98

Diffusing an Innovation: Clinician Perceptions of Continuous Predictive Analytics Monitoring in Intensive Care

Kitzmiller, R., Vaughan, A., Skeeles-Worley, A., Keim-Malpass, J., Yap, T., Lindberg, C., Kennerly, S., Mitchell, C., Tai, R., Sullivan, B., et al. (2019) · Applied Clinical Informatics

Electronic Health Records SystemsHealthcare Technology and Patient Monitoring

Cited by 25