P. Emogene Miller, PhD

Senior Biostatistician

Research Interests

  • Quantitative methods for clinical research
  • Longitudinal modeling and predictive analytics
  • Machine and deep learning methods for high-dimensional data

Emogene Miller, PhD, conducts research focused on developing and applying quantitative methods to better understand clinical outcomes and disease risk using complex biomedical data. Her work centers on approaches that integrate multiple types of clinical and biological information to identify high‑risk patient subgroups, improve outcome prediction, and support evidence‑based decision‑making. Much of her research involves observational and longitudinal data, where challenges such as missingness, correlated measurements, and heterogeneous patient populations require careful study design and analytic strategies.

A significant component of Dr. Miller’s research involves developing methods that combine traditional statistical techniques with clustering, predictive modeling, and other machine‑learning approaches to analyze complex clinical and biomarker data. She is particularly interested in tools for identifying patient subgroups and risk phenotypes. Her projects have included studies of exercise physiology, cardiovascular risk, and metabolomic profiles in large population cohorts, as well as clinical prediction and outcomes research in orthopedic populations—such as evaluating surgical outcomes and patient‑reported measures. Across these efforts, Dr. Miller emphasizes interpretable and clinically meaningful methods, ensuring that analytic findings can be translated into practice rather than remaining purely methodological.

Dr. Miller completed her PhD in Biostatistics, where her research focused on outcome‑driven clustering and representation‑learning methods for clinical data. Her doctoral work aimed to develop new approaches for disease subtyping and risk prediction in contexts where sample sizes are modest but data complexity is high—an ongoing challenge in clinical and translational research.

Publications currently indexed in the NIH bibliography can be found at:

https://www.ncbi.nlm.nih.gov/myncbi/patricia.miller.2/bibliography/public/

Miller PE, Gajjar P, Mitchell GF, et al. Clusters of multidimensional exercise response patterns and estimated heart failure risk in the Framingham Heart Study. ESC Heart Fail. 2024;11(5):3279-3289. doi:10.1002/ehf2.14797

Shah RV, Miller P, Colangelo LA, et al. Blood-Based Fingerprint of Cardiorespiratory Fitness and Long-Term Health Outcomes in Young Adulthood. J Am Heart Assoc. 2022;11(18):e026670. doi:10.1161/JAHA.122.026670

Gonzalez Izundegui D, Miller PE, Shah RV, et al. Response of circulating metabolites to an oral glucose challenge and risk of cardiovascular disease and mortality in the community. Cardiovasc Diabetol. 2022;21(1):213. Published 2022 Oct 15. doi:10.1186/s12933-022-01647-w

Nayor M, Chernofsky A, Miller PE, et al. Integrative Analysis of Circulating Metabolite Levels That Correlate With Physical Activity and Cardiorespiratory Fitness. Circ Genom Precis Med. 2022;15(3):e003592. doi:10.1161/CIRCGEN.121.003592

Nayor M, Gajjar P, Miller P, et al. Arterial Stiffness and Cardiorespiratory Fitness Impairment in the Community. J Am Heart Assoc. 2023;12(21):e029619. doi:10.1161/JAHA.123.029619

Nayor M, Gajjar P, Murthy VL, Miller PE, et al. Blood Pressure Responses During Exercise: Physiological Correlates and Clinical Implications. Arterioscler Thromb Vasc Biol. 2023;43(1):163-173. doi:10.1161/ATVBAHA.122.318512

Nguyen HB, Miller PE, Sullivan N, et al. Psychometric evaluation of Patient-Reported Outcome Measurement Information System (PROMIS) measures in children and adolescents with lower limb orthopaedic conditions : construct validity, reliability, and responsiveness. Bone Joint J. 2026;108-B(2):259-266. Published 2026 Feb 1. doi:10.1302/0301-620X.108B2.BJJ-2025-0277.R1

Nguyen HB, Miller P, Mahan S, et al. Hazard of Failed Nonoperative Management for Symptomatic Accessory Navicular in Children and Adolescents: A Population-Based Case-Cohort Study. J Pediatr Orthop. 2024;44(9):e809-e815. doi:10.1097/BPO.0000000000002754

Milewski MD, Miller PE, Gossman EC, et al. A Simple Clinical Predictive Model for Arthroscopic Mobility of Osteochondritis Dissecans Lesions of the Knee. Am J Sports Med. 2024;52(14):3543-3550. doi:10.1177/03635465241296133

Liu DS, Miller P, Rothenberg A, Vuillermin C, Waters PM, Bauer AS. Early Elbow Flexion Contracture Predicts Shoulder Contracture in Infants with Brachial Plexus Birth Injury. J Pediatr. 2024;264:113739. doi:10.1016/j.jpeds.2023.113739