The Office of Nursing Research & Innovation (ONR&I) aims to elevate nursing research by supporting investigators throughout the research project lifecycle, from project development to close-out.
The ONR&I provides complimentary statistical consultations with leading experts in research design and statistical methods.
Consultation Principles
- Focus: Our consultants specialize in research design and statistical methods and are not available for teaching or programming.
- Preparation: Please come prepared with all necessary materials, such as research questions, drafts of designs, questions about design and methods and a synopsis of available data.
- PhD Students: Your PhD chair must attend the consultation.
- DNP Students: DNP students who are conducting research or quality improvement projects as part of their degree may schedule a consultation with Warren Szewczyk. Additional support is available to students through the University of Washington Statistical Consulting Service. This free service provides access to consultants with expertise in R and other analytical programs during the academic year.

- Software: R, SQL
- Analytic techniques: logistic, Poisson and linear regression; Cox semi-parametric proportional hazards models; repeated measures analysis; non-parametric time-to-event methods with competing risks; regression diagnostics and interpretation; and missing data analysis and imputation
Dr. Lydia Drumright possesses strong expertise in epidemiology, biostatistics, health informatics, and qualitative research, particularly with complex clinical, observational, and longitudinal datasets. Her research experience spans diverse fields, including population health, healthcare delivery, clinical interventions, and health informatics.
- Software: R, Stata, SPSS, SAS, Python
- Analytic expertise: longitudinal and repeated measures analysis; hazard modeling; generalized linear models; Markov multi-state models; meta-analysis across diverse cohorts; evaluation of clinical interventions; analysis of electronic health record and routinely collected healthcare data; and AI methods for large-scale health data analysis.
Mock reviews are designed to help faculty and student researchers develop and critique their grant design. The mock reviews allow investigators to have their work reviewed informally before it is sent to the sponsor for an official review. During a modeling party, the investigator meets with three to five reviewers who are experienced with research design and analysis, the subject matter, the grant type and/or have served on funder review committees. The reviewers read a draft of the grant in advance and come prepared to discuss the strengths and weaknesses in a constructive way.
Reviewers typically give feedback on the fundability of the project, the clarity of the aims, whether the proposed research plan will fulfill the aim and the scientific merit of the research plan. The PI may also have some specific questions that they pose to the reviewers in advance.
Schedule a mock review or visit the SoN Intranet for additional information.
SoN pre- and post-award staff support faculty in the proposal development process and grant execution stage, which includes but is not limited to budget tracking, purchasing, reconciliation and progress reports. Pre- and post-award staff work closely with Finance and Administration, the Office for Sponsored Programs and Grants and Contract Accounting to assist faculty with grants.
- Initiating and submitting proposals in the UW System to Administer Grants Electronically (SAGE)
- Budget and budget justification development
- Managing submission timelines and section components, including human subjects
- Assembling sub-contracts
- Collecting biosketches and other support documents
- Just-in-time and other sponsor requirements
- Working with other departments or UW offices to solve problems, when needed
Use our Proposal Intake Form to inform us of your intent to submit!
- Creating budget numbers and advance budget numbers
- Procurement
- Tracking spending
- Sub-award spending oversight
- University and sponsor regulations
- Progress and Final Reports
ONR&I has partnered with CSDE for many lab services previously provided by the ONR&I Lab. For questions about available services, email ONR&I or complete the CSDE Lab Request Form and select “School of Nursing Faculty/Staff/Student.”