About Mikaela
Mikaela Miller is a biostatistician, epidemiologist and machine learning scientist with 10 years of experience in analytics. She has experience in statistical analysis, study design, machine learning, linear and generalized linear mixed models, non-parametric methods, data mining, and analysis of next-gen sequencing data.
Past or Current Professional Affiliations
- American Statistical Association
Publications
- 737: CLINICAL FEATURES AND OUTCOMES IN SEVERE PEDIATRIC SCALD BURN PATIENTS, 2023
- Simulation-Based System Analysis: Testing Preparedness for Extracorporeal Membrane Oxygenation Cannulation in Pediatric COVID-19 Patients, 2022
- Implementation and Maintenance of a Pediatric Severe Burn Guidelines Quality Improvement Project, 2021
- Pediatric elective therapeutic procedure complications: A multicenter cohort analysis, 2019
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See All Publications
- 737: CLINICAL FEATURES AND OUTCOMES IN SEVERE PEDIATRIC SCALD BURN PATIENTS, 2023
- Simulation-Based System Analysis: Testing Preparedness for Extracorporeal Membrane Oxygenation Cannulation in Pediatric COVID-19 Patients, 2022
- Implementation and Maintenance of a Pediatric Severe Burn Guidelines Quality Improvement Project, 2021
- Pediatric elective therapeutic procedure complications: A multicenter cohort analysis, 2019
- Assessing effectiveness of a novel mid-upper arm circumference Z-score tape in a community setting in Guatemala, 2019
- Pediatric Elective Diagnostic Procedure Complications: A Multicenter Cohort Analysis, 2018
- Mortality associated with gastrointestinal bleeding in children: A retrospective cohort study, 2017
- Readmission after Gastrointestinal Bleeding in Children: A Retrospective Cohort Study, 2017
- Gene and metabolite time-course response to cigarette smoking in mouse lung and plasma, 2017
- Blood Transcriptional Biomarkers for Active Tuberculosis among Patients in the United States: a Case-Control Study with Systematic Cross-Classifier Evaluation, 2016
- Assessment of a community health worker training program in the Peruvian Amazon demonstrates effective learning retention: Implications for health care education in a resource-limited setting, 2014