Nancy J. Mcmillan

Nancy J. Mcmillan
Battelle Memorial Institute · Advanced Analytics

About

16
Publications
2,746
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479
Citations
Introduction
Skills and Expertise

Publications

Publications (16)
Preprint
Full-text available
As part of the effort to improve quality and to reduce national healthcare costs, the Centers for Medicare and Medicaid Services (CMS) are responsible for creating and maintaining an array of clinical quality measures (CQMs) for assessing healthcare structure, process, outcome, and patient experience across various conditions, clinical specialties,...
Preprint
Full-text available
Innovation in healthcare payment and service delivery utilizes high cost, high risk pilots paired with traditional program evaluations. Decision-makers are unable to reliably forecast the impacts of pilot interventions in this complex system, complicating the feasibility assessment of proposed healthcare models. We developed and validated a Discret...
Chapter
Full-text available
"Grounded in a unique team-based geriatrics perspective, this book delivers a broad range of current, evidence-based knowledge about innovative technology that has the potential to advance the care and well-being of older adults. It provides key information about the development, selection, and implementation of technology products, and describes r...
Article
Full-text available
Human saliva is clinically informative of both oral and general health. Since next generation shotgun sequencing (NGS) is now widely used to identify and quantify bacteria, we investigated the bacterial flora of saliva microbiomes of two healthy volunteers and five datasets from the Human Microbiome Project, along with a control dataset containing...
Article
In this article, we present a multivariate Bayesian analysis of the relationships, in preschool children, between environmental pathways of exposure to a nonpersistent pesticide, chlorpyrifos, and its corresponding biomarker in urine, trichloropyridinol. The analysis uses the 3 years of data from the Pesticide Exposures of Preschool Children Over T...
Article
Over the past few years, Bayesian models for combining output from numerical models and air monitoring data have been applied to environmental data sets to improve spatial prediction. This paper develops a new hierarchical Bayesian model (HBM) for fine particulate matter (PM2.5) that combines U. S. EPA Federal Reference Method (FRM) PM2.5 monitorin...
Article
Four broad approaches to decreasing the number of cargo tank rollovers were evaluated: driver training, electronic stability aids, improvements in design of the vehicle itself, and highway design. A study of rollover crash statistics confirmed many expectations, but a few of the factors were not as strong as might have been expected. The portion of...
Article
This paper investigates, from sources to biomarkers, the pathways of human exposure to arsenic. We use a multi-scale (individual level, county level) hierarchical Bayesian model (HBM) that has explicit stages for pollutant sources, global and local environmental levels, personal exposures, and biomarkers. By analyzing these stages simultaneously, w...
Article
A Bayesian hierarchical regime switching model describing the spatial–temporal behavior of ozone (O3) within a domain covering Lake Michigan during spring–summer 1999 is developed. The model incorporates linkages between ozone and meteorology. It is specifically formulated to identify meteorological regimes conducive of high ozone levels and allow...
Article
The effects of certain chemical additives at maintaining a high level of activity in protein constructs during storage is investigated. We use a semiparametric regression technique to model the effects of the additives on protein activity. The model is extended to handle categorical explanatory variables. On the basis of the available data, the imp...
Article
Extensive modeling and simulation studies have been carried out to evaluate the performance of systems for avoiding run-off-road crashes. Results show that the effectiveness of in-vehicle crash avoidance systems depends on how well they can be tailored to specific vehicle, driver, and roadway characteristics. To this end, a major focus of these stu...
Conference Paper
Extensive dynamic simulation studies were conducted to evaluate the ability of collision countermeasure systems (CMS) to prevent run-off-road accidents. A key challenge facing the development of an effective CMS is the ability to function successfully given the wide range of driver types, vehicle characteristics, road conditions and driving situati...
Article
Estimating characteristics of motor vehicles and their occupants based on sampling a small portion of vehicles on the road is inherently a statistical problem. The problem has two components: construction of an efficient sampling design and application of an appropriate estimator to collected data. Constructing the sampling design should involve op...
Article
Full-text available
To investigate the possible relationship between airborne particulate matter and mortality, we developed regression models of daily mortality counts using meteorological covariates and measures of outdoor PM10. Our analyses included data from Cook County, Illinois, and Salt Lake County, Utah. We found no evidence that particulate matter < or = 10 m...
Article
We study a hierarchical model for circular data with covariate information. The model for the data given the first stage parameters is based on a finite Fourier series expansion of the conditional mean level for each circular curve. The dependence of the response on the covariates is incorporated through a linear regression of the parameters on the...
Article
In many real-world environments, events happen at irregular intervals and measurements describing those events are recorded, e.g., network connection attempts. The flow of measurements thus generated is stream data. The pace of real world events, which is not controlled, governs the rate at which stream data flows. The real-time management and use...

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