A5009600100- Global Maternal and Child Health
- COVID-19 Clinical Research Studies
- Ureteral procedures and complications
- Explainable Artificial Intelligence (XAI)
- COVID-19 and healthcare impacts
- Bladder and Urothelial Cancer Treatments
- Insurance, Mortality, Demography, Risk Management
- Vascular Procedures and Complications
- SARS-CoV-2 and COVID-19 Research
- Hydrogen's biological and therapeutic effects
- Cholinesterase and Neurodegenerative Diseases
- Acupuncture Treatment Research Studies
- Spine and Intervertebral Disc Pathology
- Nutrition and Health in Aging
- Health Systems, Economic Evaluations, Quality of Life
- Chronic Disease Management Strategies
- Design Education and Practice
- Data-Driven Disease Surveillance
- Machine Learning in Healthcare
- Frailty in Older Adults
- Advanced Causal Inference Techniques
- Healthcare Systems and Technology
- Diagnosis and Treatment of Venous Diseases
- Statistical Methods and Inference
- Tropical and Extratropical Cyclones Research
University of North Carolina at Chapel Hill
2020-2025
Statistical and Applied Mathematical Sciences Institute
2020
Abstract Objective Chronic low back pain (cLBP) is a common condition that impacts quality of life and function. There are many evidence-based treatments to address cLBP; however, treatment effects modest, perhaps in part due individual variation response. The Biomarkers for Evaluating Spine Treatments (BEST) Trial was designed as the collaborative centerpiece Back Pain Consortium (BACPAC) research program. This consortium sponsored by National Institute Arthritis Musculoskeletal Skin...
Objectives Develop an individualised prognostic risk prediction tool for predicting the probability of adverse COVID-19 outcomes in patients with inflammatory bowel disease (IBD). Design and setting This study developed validated penalised logistic regression models using reports to international Surveillance Epidemiology Coronavirus Under Research Exclusion Inflammatory Bowel Disease voluntary registry from March October 2020. Model development was done a training data set (85% cases...
Abstract Multilevel interventions (MLIs) hold promise for reducing health inequities by intervening at multiple types of social determinants consistent with the socioecological model health. In spite their potential, methodological challenges related to study design compounded a lack tools sample size calculation inhibit development. We help address this gap proposing Intervention Stepped Wedge Design (MLI-SWD), hybrid experimental which combines cluster-level (CL) randomization using (SWD)...
This paper highlights the importance of developing accurate flood hazard maps to price insurance effectively and communicate risk interested parties. Risk-based premiums can encourage purchase investment in cost effective mitigation measures. We undertake a study using light imaging detection ranging (LIDAR) technology depth damage curves determine risk-based rates for residential structures three counties state North Carolina. then compare these prices with current charged homeowners by...
Abstract In the applied sciences, ultimate goal is not just to acquire knowledge but turn into action. The next wave for data disciplines may be experimental designs and analytical methods closing gap between “real‐world” situations faced by decision‐makers their idealized representations in optimization problems, health sciences are poised discipline where these developments substantially improve lives. We discuss three recent trends research—experimental precision medicine pragmatic...
Risk calculators can facilitate shared medical decision-making 1 . Demographics, comorbidities, medication use, geographic region, and other factors may increase the risk for COVID-19-related complications among patients with IBD 2,3 .Develop an individualized prognostic prediction tool predicting probability of adverse COVID-19 outcomes in IBD.This study developed validated penalized logistic regression models 4 using reports to Surveillance Epidemiology Coronavirus Under Research Exclusion...
You have accessJournal of UrologyHealth Services Research: Quality Improvement & Patient Safety III (PD62)1 May 2024PD62-01 INTERVENTIONS TO REDUCE CYSTOSCOPY DISCOMFORT: A MULTI-SITE QUALITY IMPROVEMENT PILOT Avani P. Desai, Ram Sankar Basak, Yair Lotan, John Sperger, Florian Schroeck, Iftach Chaplain, Hannah Roberson, Perla Lopez, Whitney Jenkins, L. Gore, Michael R. Kosorok, and Angela Smith DesaiAvani Desai , BasakRam Basak LotanYair Lotan SpergerJohn Sperger SchroeckFlorian Schroeck...
Statistical Modeling:The Two Cultures was first published, algorithmic modeling techniques have gone from controversial to commonplace in the statistical community.While widespread adoption of these methods as part contemporary statistician's toolkit is a testament Dr. Breiman's vision, number high-profile failures models suggests that final remark "the emphasis needs be on problem and data" has been less widely heeded.In spirit Breiman, we detail an emerging research community statistics...
We discuss “Linear mixed models with endogenous covariates: modeling sequential treatment effects application to a mobile health study” by Qian, Klasnja and Murphy. In this discussion, we study when the linear covariates are feasible use providing examples diagnostic tools as well discussing potential extensions. This includes evaluating feasibility of partial likelihood-based inference, checking conditional independence assumption, estimation marginal effects, kernel extensions model.
<ns4:p><ns4:bold>Background:</ns4:bold> Each year, nearly 300,000 women and 5 million fetuses or neonates die during childbirth shortly thereafter, a burden concentrated disproportionately in low- middle-income countries. Identifying their at risk for intrapartum-related morbidity death could facilitate early intervention.</ns4:p><ns4:p> <ns4:bold>Methods:</ns4:bold> The Limiting Adverse Birth Outcomes Resource-Limited Settings (LABOR) Study is multi-country, prospective, observational...
<ns4:p><ns4:bold>Background:</ns4:bold> Each year, nearly 300,000 women and 5 million fetuses or neonates die during childbirth shortly thereafter, a burden concentrated disproportionately in low- middle-income countries. Identifying their at risk for intrapartum-related morbidity death could facilitate early intervention.</ns4:p><ns4:p> <ns4:bold>Methods:</ns4:bold> The Limiting Adverse Birth Outcomes Resource-Limited Settings (LABOR) Study is multi-country, prospective, observational...