Rod Walker, MS, has developed a diverse research portfolio during his 15+ years as a biostatistician at KPWHRI. He has supported research collaborations across a wide range of topic areas including women's health, cancer, aging and geriatrics, physical activity and sedentary behavior, pharmacoepidemiology, opioids, traumatic brain injury, COVID-19, and mental health. Activities during his tenure have included serving as an analyst for the Statistical Coordinating Center for the National Cancer Institute's Breast Cancer Surveillance Consortium; evaluating health system initiatives aimed at reducing risks associated with chronic opioid therapy prescribing; and examining associations between various medication classes and outcomes such as pneumonia, fall-related injury, and dementia. He has also partnered with researchers in the Mental Health Research Network to leverage electronic health record data for predicting risk of suicide attempt and suicide death. These efforts have expanded his knowledge in machine learning, risk prediction, health informatics, and the practical challenges of implementing predictive tools into clinical workflows.
Mr. Walker’s longest-running collaboration is with the Adult Changes in Thought (ACT) study, an ongoing longitudinal cohort study seeking to bolster knowledge of risk factors related to dementia, Alzheimer's disease, and healthy aging. As the ACT study and its related projects have grown, he has contributed to analyses examining how medication use, biomarkers, and other exposures relate to cognitive outcomes in older adults — and has extended this work to investigate associations with neuropathology among participants who provided brain donations. His tenure with ACT has afforded him the opportunity to participate in varied activities such as processing and analyzing physical activity and sedentary behavior data from actigraphy devices worn by study participants; supporting development of prediction models to identify unrecognized dementia by leveraging the unique data available through ACT; and exploring relationships between eye diseases and dementia in collaboration with the Eye ACT ancillary study. Mr. Walker currently serves as co-lead of the ACT Data Science and Informatics Core, helping guide data infrastructure development and coordinate data sharing activities. Continued collaboration with ACT investigators remains a highlight of his research career at KPWHRI, as the study provides rich opportunities to advance public health knowledge relevant to aging populations.
Survival and longitudinal data analysis; epidemiology; machine learning; two-phase sampling
Biostatistics; cognitive health and dementia; neuropathologic correlates of dementia; factors associated with healthy aging
Biostatistics; suicide risk prediction; interventions for risk reduction; machine learning and health informatics
Biostatistics; pharmacoepidemiology; medication safety in older adults; opioids and chronic pain
Shortreed SM, Gray R, Akosile MA, Walker RL, Fuller S, Temposky L, Fortmann SP, Albertson-Junkans L, Floyd JS, Bayliss EA, Harrington LB, Lee MH, Dublin S Increased COVID-19 Infection Risk Drives Racial and Ethnic Disparities in Severe COVID-19 Outcomes 2023 Feb;10(1):149-159. doi: 10.1007/s40615-021-01205-2. Epub 2022-01-24. PubMed
Gibbons LE, Power MC, Walker RL, Kumar RG, Murphy A, Latimer CS, Nolan AL, Melief EJ, Beller A, Bogdani M, Keene CD, Larson EB, Crane PK, Dams-O'Connor K Association of Traumatic Brain Injury with Late Life Neuropathological Outcomes in a Community-Based Cohort 2023 Jan;93(3):949-961. doi: 10.3233/JAD-221224. Epub 2023-04-28. PubMed
Hyde ET, Nguyen S, Tuz-Zahra F, Moore CC, Greenwood-Hickman MA, Walker RL, Natarajan L, Rosenberg D, Bellettiere J Agreement of Step-Based Metrics From ActiGraph and ActivPAL Accelerometers Worn Concurrently Among Older Adults 2022 Dec;5(4):242-251. doi: 10.1123/jmpb.2022-0001. Epub 2022-10-11. PubMed
Cruz M, Shortreed SM, Richards JE, Coley RY, Yarborough BJ, Walker RL, Johnson E, Ahmedani BK, Rossom R, Coleman KJ, Boggs JM, Beck AL, Simon GE Machine Learning Prediction of Suicide Risk Does Not Identify Patients Without Traditional Risk Factors 2022 Aug 31;83(5). doi: 10.4088/JCP.21m14178. Epub 2022-08-31. PubMed
Wingood M, Bonnell L, LaCroix AZ, Rosenberg D, Walker R, Bellettiere J, Greenwood-Hickman MA, Wing D, Gell N Community-Dwelling Older Adults and Physical Activity Recommendations: Patterns of Aerobic, Strengthening, and Balance Activities 2022 Aug;30(4):653-665. doi: 10.1123/japa.2021-0194. Epub 2021-10-15. PubMed
Oral contraceptives, hormone therapy not linked to more severe COVID outcomes.
Study suggests pathology of brain cell loss after traumatic head injury is distinct from Alzheimer’s disease.
Models that are easier to explain, use could have better uptake in health care settings.