Projects per year
Fingerprint
Dive into the research topics where Quantitative Health Sciences is active. These topic labels come from the works of this organization's members. Together they form a unique fingerprint.
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Profiles
-
Amylou Dueck, PhD
- Phoenix/Scottsdale, AZ, Quantitative Health Sciences - Associate Professor
Person: Faculty
-
Diane Ehlers, Ph.D.
- Phoenix/Scottsdale, AZ, Quantitative Health Sciences - Associate Professor
Person: Faculty
-
Achieving Safe, Comprehensive, Digitally-Enabled Cancer Pain managemeNT” (ASCENT) Clinical Trial
Cheville, A. L. (PI), Cheville, A. (CoPI) & Austin, J. (CoPI)
9/1/23 → 8/31/27
Project: Research project
-
Enhancing cognitive function in breast cancer survivors through community-based aerobic exercise training
Ehlers, D. (PI) & Ehlers, D. D. K. (CoPI)
5/1/21 → 7/31/27
Project: Research project
-
Early Detection of Mild Cognitive Impairment, Alzheimer’s Disease and Other Dementias using EHR
Geda, Y. E. (CoPI) & Sohn, S. (CoPI)
9/15/20 → 6/30/27
Project: Research project
-
A decision-oriented framework for genomic testing across the prostate cancer continuum
Cobran, E. K., Samadder, N. J., Schaid, D. J., Conti, D. V., Haiman, C., Vargas, L., Gionfriddo, M. R. & Tilburt, J. C., Sep 2026, In: Cancer Genetics. 306-307, p. 63-68 6 p.Research output: Contribution to journal › Short survey › peer-review
Open Access -
Alliance A222001: Oxybutynin Versus Placebo for the Treatment of Hot Flashes in Patients Receiving Androgen-Deprivation Therapy for Prostate Cancer
Stish, B. J., Mazza, G. L., Nauseef, J. T., Humeniuk, M. S., Smith, T. J., Tofthagen, C., Diaz Pardo, D. A., Chay, C., Huang, A. J., Naha, K., Tagawa, S. T., Chow, S., Ruddy, K. J., Lustberg, M. B., Adams-Campbell, L. L., Novotny, P. J. & Loprinzi, C. L., Jan 2026, In: Journal of Clinical Oncology. 8Research output: Contribution to journal › Article › peer-review
-
A practical toolkit with recommendations for analysing and visualising patient-reported outcomes in early phase dose-finding oncology trials (OPTIMISE-AR)
Alger, E., Regnault, A., Dueck, A. C., Pe, M., Grayling, M. J., Calvert, M. J., Hansen, A. R., Kholmanskikh, O., Lai-Kwon, J., Lee, J. J., Minchom, A., Qiao, Y., Rantell, K. R., Roydhouse, J., Snyder, C., Symeonides, S. N., Wages, N. A., Wilson, R. & Yap, C., Apr 2026, In: The Lancet Oncology. 27, 4, p. e218-e230Research output: Contribution to journal › Review article › peer-review