Kate Miller, Ph.D.

Senior Biostatistician

As a statistical generalist, she has over 20 years’ experience in public health, implementation science, psychometrics, survey construction, and a range of experimental and observational study designs. Kate comes to QSU from Ariadne Labs at the Harvard School of Public Health, and has previous experience in the commercial analytic sector at Optum Patient Insights, and the nonprofit research sector at the Population Council and Ibis Reproductive Health. She has collaborated on research in the areas of reproductive health, obstetrics, oncology, pain conditions, palliative care, and surgical safety, among others. She is a practitioner and strong proponent of data visualization in the scientific process, and lectures often on the topic, as well as maintaining an artistic data visualization practice in her personal life. Kate loves excellent measurement methods, and infuses her daily work with the joy of discovery. She holds a PhD in demography from the University of Pennsylvania and a Masters in Public Health from Columbia University


Methodological interest: Data visualization techniques, adaptive trial designs, implementation science, psychometrics, survey construction, scientific communication

Clinical areas: reproductive health, maternal and child health, palliative care, global health

Selected publications

* Joint first author

Miller K, Rosenberg J, Pickard O et al. Segmenting clinicians’ usage patterns of a digital health tool in resource-limited settings: Clickstream data analysis and survey study. JMIR Form Res 2022;6(5):e30320

Schmidt H, Weintraub R, Williams MA, Miller K, et al. Equitable allocation of COVID-19 vaccines in the United States. Nat Med 27, 1298–1307 (2021).

Semrau KE, Miller K, Lipsitz S, et al. Does adherence to evidence-based practices during childbirth prevent perinatal mortality? A post-hoc analysis of 3,274 births in Uttar Pradesh, India. BMJ Glob Health. 2020 Sep;5(9):e002268.

Sanders JJ*, Miller K*, Desai M, et al. Measuring goal-concordant care: Results and reflections from secondary analysis of a trial to improve serious illness communication. J Pain Symptom Manage. 2020 Nov;60(5):889-897.e2.

Marx Delaney M*, Miller K*, Bobanski L, et al. Unpacking the null: a post-hoc analysis of a cluster-randomised controlled trial of the WHO Safe Childbirth Checklist in Uttar Pradesh, India (BetterBirth). Lancet Glob Health. 2019 Aug;7(8):e1088-e1096.

Bernacki R, Paladino J, Neville BA, Hutchings M, Kavanagh J, Geerse OP, Lakin J, Sanders JJ, Miller K, Lipsitz S, Gawande AA, Block SD. Effect of the Serious Illness Care Program in outpatient oncology: a cluster randomized clinical trial. JAMA Intern Med. 2019 Jun 1;179(6):751-759.

Rosenson, R, Miller K, Bayliss M et al. The Statin-Associated Muscle Symptom Clinical Index (SAMS-CI): revision for clinical use, content validation, and inter-rater reliability. Cardiovasc Drugs Ther 31, 179–186 (2017).