Zobrazeno 1 - 10
of 316
pro vyhledávání: '"Rappold, Ana"'
Autor:
Feng, Brandon R., Yanchenko, Eric, Hill, K. Lloyd, Rosman, Lindsey A., Reich, Brian J., Rappold, Ana G.
Congestive heart failure (CHF) is a leading cause of morbidity, mortality and healthcare costs, impacting $>$23 million individuals worldwide. Large electronic health records data provide an opportunity to improve clinical management of diseases, but
Externí odkaz:
http://arxiv.org/abs/2411.04310
Observations of groundwater pollutants, such as arsenic or Perfluorooctane sulfonate (PFOS), are riddled with left censoring. These measurements have impact on the health and lifestyle of the populace. Left censoring of these spatially correlated obs
Externí odkaz:
http://arxiv.org/abs/2403.15670
Autor:
Xi, Yuzhi, Wettstein, Zachary S., Kshirsagar, Abhijit V., Liu, Yang, Zhang, Danlu, Hang, Yun, Rappold, Ana G.
Publikováno v:
In Kidney International Reports October 2024 9(10):2946-2955
Autor:
Prathibha, Pradeep, Turner, Mallory, Wei, Linda, Davis, Andrea, Vinsonhaler, Kathryn, Batchelder, Amber, McCaughey, Brian, Carlstad, Julia, Chelminski, Ann N., Rappold, Ana G., Hassett-Sipple, Beth, Holder, Amara L.
Publikováno v:
In Atmospheric Environment 15 September 2024 333
Understanding the effects of interventions, such as restrictions on community and large group gatherings, is critical to controlling the spread of COVID-19. Susceptible-Infectious-Recovered (SIR) models are traditionally used to forecast the infectio
Externí odkaz:
http://arxiv.org/abs/2103.04417
Unobserved spatial confounding variables are prevalent in environmental and ecological applications where the system under study is complex and the data are often observational. Instrumental variables (IVs) are a common way to address unobserved conf
Externí odkaz:
http://arxiv.org/abs/2103.00304
Autor:
Turner, Mallory W., Prathibha, Pradeep, Holder, Amara, Rappold, Ana G., Hassett-Sipple, Beth, McCaughey, Brian, Wei, Linda, Davis, Andrea, Vinsonhaler, Kathryn, Batchelder, Amber, Carlstad, Julia, Chelminski, Ann N.
Publikováno v:
In Heliyon 29 February 2024 10(4)
The scientific rigor and computational methods of causal inference have had great impacts on many disciplines, but have only recently begun to take hold in spatial applications. Spatial casual inference poses analytic challenges due to complex correl
Externí odkaz:
http://arxiv.org/abs/2007.02714
Many spatial phenomena exhibit treatment interference where treatments at one location may affect the response at other locations. Because interference violates the stable unit treatment value assumption, standard methods for causal inference do not
Externí odkaz:
http://arxiv.org/abs/2007.00106
Wildland fire smoke exposures are an increasing threat to public health, and thus there is a growing need for studying the effects of protective behaviors on reducing health outcomes. Emerging smartphone applications provide unprecedented opportuniti
Externí odkaz:
http://arxiv.org/abs/2005.12017