Topic
Inverse Probability Weighting
Fillmore utilizes inverse probability weighting to mitigate confounding and selection bias in retrospective cohort studies. This methodology has enabled him to rigorously evaluate the comparative effectiveness of prostate cancer therapies and the long-term neuroprotective effects of metabolic medications in high-risk populations. By employing these weights, his work provides more robust estimates of treatment effects in real-world clinical settings.
U.S. Veterans and VA Data 5
Retrospective Cohort Study 5
Alzheimer Disease and Dementia 4
Cox Proportional Hazards Model 4
Prostate Cancer 3
Overall Survival 3
Comparative Effectiveness 3
Real World Evidence 2
Survival Analysis 2
Patient Outcomes 2
Metastatic Castration-Resistant Prostate Cancer 2
Framingham Heart Study 2
Publications (7)
2026
2026
2026
2024
2024
2022
2021