A5028265104- Environmental Justice and Health Disparities
- Statistical Methods in Clinical Trials
- Global Cancer Incidence and Screening
- Health disparities and outcomes
- Risk Perception and Management
- Prostate Cancer Treatment and Research
- Statistical Methods and Inference
- Disaster Management and Resilience
- Health Systems, Economic Evaluations, Quality of Life
- Prostate Cancer Diagnosis and Treatment
- Climate Change and Health Impacts
- Food Security and Health in Diverse Populations
- Heavy Metal Exposure and Toxicity
- Optimal Experimental Design Methods
- Veterinary Equine Medical Research
- Genetic and phenotypic traits in livestock
- Cancer Genomics and Diagnostics
- Homelessness and Social Issues
- Migration, Health and Trauma
- Community Health and Development
- Noise Effects and Management
- Viral-associated cancers and disorders
- Advanced Statistical Methods and Models
- COVID-19 and healthcare impacts
- Economic and Financial Impacts of Cancer
RAND Corporation
2023-2025
University of Michigan
2019-2024
National Institutes of Health
2022
PURPOSE We reviewed survival data of patients with low-grade lymphoma entered on Southwest Oncology Group (SWOG) trials in 1972 to 1983 determine the utility doxorubicin-containing therapy (cyclophosphamide, doxorubicin, vincristine, and prednisone [CHOP]) such patients. PATIENTS AND METHODS identified all lymphoma, no prior therapy, stage III or IV disease who were treated full-dose CHOP induction any arm SWOG studies 7204, 7426, 7713. Survival for this group correlated pretreatment...
Cancer treatment delay has been reported to variably impact cancer-specific survival and coronavirus disease 2019 (COVID-19)-specific mortality during the severe acute respiratory syndrome 2 pandemic. During pandemic, is being recommended in a nonquantitative, nonobjective, nonpersonalized manner, this approach may be associated with suboptimal outcomes. Quantitative integration of cancer estimates data on consequences needed aid decisions improve patient outcomes.To obtain quantitative...
This comparative review explores how, during COVID-19 and recent American public health disasters, including the water crisis in Flint, Michigan, Hurricane Katrina, Maria, early failures communications, porous epidemiologic oversight, lax management created significant gaps outreach treatment for historically disenfranchised racial/ethnic minorities In consideration of each event's broader specter terms population inequities, a highly salient but underresearched dynamic emerges: development...
We present an alternative approach to estimating the cumulative incidence function that uses non-parametric multiple imputation reduce problem of a binomial proportion. In standard competing risks setting, we show mathematically and empirically our imputation-based estimator is equivalent Aalen-Johansen given sufficient number imputations. However, allows for use wider variety methods analysis binary outcomes, including preferred options uncertainty estimation. While focus on function,...
COVID-19 is unique in the scope of its effects on morbidity and mortality. However, factors contributing to disparate racial, ethnic, socioeconomic are part an expansive continuous history oppressive social policy marginalising geopolitics. This characterised by institutionally generated spatial inequalities forged through processes residential segregation neglectful urban planning. In USA, aspects COVID-19's manifestation closely mirror elements build-up response Flint crisis, Michigan's...
Despite the success of smoking cessation campaigns, lung cancer remains leading cause death in U.S. Variations behavior and mortality are evident by sex region.Applying geospatial methods to data from National Vital Statistics System county-level estimates prevalences NCI's Small Area Estimates Cancer-Related Measures, we evaluated patterns rates (2005-2018) relation ever cigarette (1997-2003).Overall, spatial were generally associated with rates, which elevated Appalachian region lower West...
To develop and validate an accurate, usable prediction model for other-cause mortality (OCM) in patients with prostate cancer diagnosed the United States.Model training was performed using National Health Nutrition Examination Survey 1999-2010 including men aged >40 years follow-up to year 2014. The validated Prostate, Lung, Colon, Ovarian Cancer Screening Trial cohort, which enrolled between 1993 2001 2015. Time-dependent area under curve (AUC) calibration were assessed validation cohort....
Multivariable models for prediction or estimating associations with an outcome are rarely built in isolation. Instead, they based upon a mixture of covariates that have been evaluated earlier studies (eg, age, sex, common biomarkers) and were collected specifically the current study panel novel biomarkers other hypothesized risk factors). For context, we present multistep elastic net (MSN), which considers penalized regression variables can be qualitatively grouped their degree prior...
Background: As our understanding of the etiology and mechanisms cancer becomes more sophisticated number therapeutic options increases, phase I oncology trials today have multiple primary objectives. Many such designs are now “seamless,” meaning that trial estimates both maximum tolerated dose efficacy at this level. Sponsors often proceed with further study only additional evidence. However, increasing complexity in design, it challenging to articulate fundamental operating characteristics...
Biomedical data often exhibit jumps or abrupt changes. For example, women's basal body temperature may jump at ovulation, menstruation, implantation, and miscarriage. These sudden changes make these challenging to model: many methods will oversmooth the sharp overfit in response measurement error. We develop horseshoe process regression (HPR) address this problem. define a as stochastic which each increment is horseshoe‐distributed. use nonparametric Bayesian prior for modeling potentially...