Zobrazeno 1 - 10
of 203
pro vyhledávání: '"McCormick, Tyler H"'
Autor:
Salerno, Stephen, Roberts, Emily K., Needham, Belinda L., McCormick, Tyler H., Mukherjee, Bhramar, Shi, Xu
A basic descriptive question in statistics often asks whether there are differences in mean outcomes between groups based on levels of a discrete covariate (e.g., racial disparities in health outcomes). However, when this categorical covariate of int
Externí odkaz:
http://arxiv.org/abs/2406.19597
The stable unit treatment value assumption states that the outcome of an individual is not affected by the treatment statuses of others, however in many real world applications, treatments can have an effect on many others beyond the immediately trea
Externí odkaz:
http://arxiv.org/abs/2406.11940
Many statistical analyses, in both observational data and randomized control trials, ask: how does the outcome of interest vary with combinations of observable covariates? How do various drug combinations affect health outcomes, or how does technolog
Externí odkaz:
http://arxiv.org/abs/2404.02141
Autor:
Fan, Shuxian, Visokay, Adam, Hoffman, Kentaro, Salerno, Stephen, Liu, Li, Leek, Jeffrey T., McCormick, Tyler H.
In settings where most deaths occur outside the healthcare system, verbal autopsies (VAs) are a common tool to monitor trends in causes of death (COD). VAs are interviews with a surviving caregiver or relative that are used to predict the decedent's
Externí odkaz:
http://arxiv.org/abs/2404.02438
Verbal autopsies (VAs) are extensively used to investigate the population-level distributions of deaths by cause in low-resource settings without well-organized vital statistics systems. Computer-based methods are often adopted to assign causes of de
Externí odkaz:
http://arxiv.org/abs/2403.12288
Autor:
Chandrasekhar, Arun G., Goldsmith-Pinkham, Paul, McCormick, Tyler H., Thau, Samuel, Wei, Jerry
Network diffusion models are used to study things like disease transmission, information spread, and technology adoption. However, small amounts of mismeasurement are extremely likely in the networks constructed to operationalize these models. We sho
Externí odkaz:
http://arxiv.org/abs/2403.05704
As artificial intelligence and machine learning tools become more accessible, and scientists face new obstacles to data collection (e.g. rising costs, declining survey response rates), researchers increasingly use predictions from pre-trained algorit
Externí odkaz:
http://arxiv.org/abs/2401.08702
Contact tracing is one of the most important tools for preventing the spread of infectious diseases, but as the experience of COVID-19 showed, it is also next-to-impossible to implement when the disease is spreading rapidly. We show how to substantia
Externí odkaz:
http://arxiv.org/abs/2312.05718
Respondent-driven sampling (RDS) is both a sampling strategy and an estimation method. It is commonly used to study individuals that are difficult to access with standard sampling techniques. As with any sampling strategy, RDS has advantages and chal
Externí odkaz:
http://arxiv.org/abs/2309.16160
We present a general central limit theorem with simple, easy-to-check covariance-based sufficient conditions for triangular arrays of random vectors when all variables could be interdependent. The result is constructed from Stein's method, but the co
Externí odkaz:
http://arxiv.org/abs/2308.12506