A5019454947- Pneumonia and Respiratory Infections
- Statistical Methods and Bayesian Inference
- Machine Learning in Healthcare
- Advanced Causal Inference Techniques
- Domain Adaptation and Few-Shot Learning
- Data-Driven Disease Surveillance
- Genetic and phenotypic traits in livestock
- Bayesian Methods and Mixture Models
- Health disparities and outcomes
- Bone health and osteoporosis research
- Corporate Taxation and Avoidance
- Statistical Methods and Inference
- Topic Modeling
- Adipose Tissue and Metabolism
- Estrogen and related hormone effects
- Hormonal and reproductive studies
- Respiratory viral infections research
- Neonatal Respiratory Health Research
- Taxation and Compliance Studies
- Bone Metabolism and Diseases
- Health and Conflict Studies
- Gender, Labor, and Family Dynamics
- Insurance, Mortality, Demography, Risk Management
University of Michigan
2019-2024
Max Planck Institute for Demographic Research
2024
University of Washington
2018
The Gaza War, triggered by the Hamas-led attack on October 7, 2023, has resulted in significant loss of life and intensified an ongoing humanitarian crisis. Despite increasing demand for accurate measures conflict severity, mortality estimates remain challenging due to inherent `statistical fog war' surrounding conflicts. In particular, quantification is hindered uncertainties related incomplete reporting uncertain age-sex distributions casualties. Official death tolls are likely influenced...
Determining causes of deaths (CODs) occurred outside civil registration and vital statistics systems is challenging. A technique called verbal autopsy (VA) widely adopted to gather information on in practice. VA consists interviewing relatives a deceased person about symptoms the period leading death, often resulting multivariate binary responses. While statistical methods have been devised for estimating cause-specific mortality fractions (CSMFs) study population, continued expansion new...
Recent studies explored which pathogens drive the global burden of pneumonia hospitalizations among young children. However, etiology broader acute lower respiratory tract infections (ALRIs) remains unclear. Using a multicountry study (Albania, Jordan, Nicaragua, and Philippines) hospitalized infants non-ill community controls between 2015 2017, we assessed prevalence severity viral coinfections. We also estimated proportion ALRI caused by 21 identified via multiplex real-time reverse...
Longitudinal biomarker data and cross-sectional outcomes are routinely collected in modern epidemiology studies, often with the goal of informing tailored early intervention decisions. For example, hormones, such as estradiol (E2) follicle-stimulating hormone (FSH), may predict changes womens' health during midlife. Most existing methods focus on constructing predictors from mean marker trajectories. However, subject-level variability also provide critical information about disease risks...
Understanding cause-specific mortality rates is crucial for monitoring population health and designing public interventions. Worldwide, two-thirds of deaths do not have a cause assigned. Verbal autopsy (VA) well-established tool to collect information describing outside hospitals by conducting surveys caregivers deceased person. It routinely implemented in many low- middle-income countries. Statistical algorithms assign death using VAs are typically vulnerable the distribution shift between...
United Way of King County's Free Tax Campaign offers free tax return preparation for low-income residents in the greater Seattle area.For many years, has been using same work flow model, but is now considering switching to a new strategy that could potentially serve more clients.In order evaluate which would be effective, we created Monte Carlo simulations predict maximum number clients given site serve, varying numbers personnel and staff.By analyzing results from both simulations,...
Optimal prevention and treatment strategies for a disease of multiple causes, such as pneumonia, must be informed by the population distribution causes among cases, or cause‐specific case fractions (CSCFs). CSCFs may further depend on additional explanatory variables. Existing methodological literature in etiology research does not fully address regression problem, particularly under case‐control design. Based multivariate binary non‐gold‐standard diagnostic data covariate information, this...
Determining causes of deaths (COD) occurred outside civil registration and vital statistics systems is challenging. A technique called verbal autopsy (VA) widely adopted to gather information on in practice. VA consists interviewing relatives a deceased person about symptoms the period leading death, often resulting multivariate binary responses. While statistical methods have been devised for estimating cause-specific mortality fractions (CSMFs) study population, continued expansion new...
Women are at increased risk of bone loss during the menopausal transition; in fact, nearly 50\% women's lifetime occurs this time. The longitudinal relationships between estradiol (E2) and follicle-stimulating hormone (FSH), two hormones that change have characteristic changes transition, health outcomes complex. However, addition to level rate E2 FSH, variability these across transition may be an important predictor health, but question has yet well explored. We introduce a joint model...
In large-scale disease etiology studies, epidemiologists often need to use multiple binary measures of unobserved causes that are not perfectly sensitive or specific estimate cause-specific case fractions, referred as "population etiologic fractions" (PEFs). Despite recent methodological advances, the scientific incorporating control data effect explanatory variables upon PEFs, however, remains unmet. this paper, we build on and extend nested partially-latent class model (npLCMs, Wu et al.,...
Abstract Optimal prevention and treatment strategies for a disease of multiple causes, such as pneumonia, must be informed by the population distribution causes among cases, or cause-specific case fractions (CSCFs). CSCFs may further depend on additional explanatory variables. Existing methodological literature in etiology research does not fully address regression problem, particularly under case-control design. Based multivariate binary non-gold-standard diagnostic data covariate...
Longitudinal biomarker data and cross-sectional outcomes are routinely collected in modern epidemiology studies, often with the goal of informing tailored early intervention decisions. For example, hormones such as estradiol follicle-stimulating hormone may predict changes womens' health during midlife. Most existing methods focus on constructing predictors from mean marker trajectories. However, subject-level variability also provide critical information about disease risks outcomes. In...
S ummary Determining causes of deaths (COD) occurred outside civil registration and vital statistics systems is challenging. A technique called verbal autopsy (VA) widely adopted to gather information on in practice. VA consists interviewing relatives a deceased person about symptoms the period leading death, often resulting multivariate binary responses. While statistical methods have been devised for estimating cause-specific mortality fractions (CSMFs) study population, continued...