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pro vyhledávání: '"Waller Lance A"'
Background: We extend recently proposed design-based capture-recapture methods for prevalence estimation among registry participants, in order to support causal inference among a trial-eligible target population. The proposed design for CRC analysis
Externí odkaz:
http://arxiv.org/abs/2409.18358
Autor:
Peterson, Emily N, Nethery, Rachel C., Chen, Jarvis T., Tabb, Loni P., Coull, Brent A., Piel, Frederic B., Waller, Lance A
Monitoring small-area geographical population trends in opioid mortality has large scale implications to informing preventative resource allocation. A common approach to obtain small area estimates of opioid mortality is to use a standard disease map
Externí odkaz:
http://arxiv.org/abs/2312.13331
Monitoring key elements of disease dynamics (e.g., prevalence, case counts) is of great importance in infectious disease prevention and control, as emphasized during the COVID-19 pandemic. To facilitate this effort, we propose a new capture-recapture
Externí odkaz:
http://arxiv.org/abs/2307.00214
In epidemiological studies, the capture-recapture (CRC) method is a powerful tool that can be used to estimate the number of diseased cases or potentially disease prevalence based on data from overlapping surveillance systems. Estimators derived from
Externí odkaz:
http://arxiv.org/abs/2306.10666
Epidemiologic screening programs often make use of tests with small, but non-zero probabilities of misdiagnosis. In this article, we assume the target population is finite with a fixed number of true cases, and that we apply an imperfect test with kn
Externí odkaz:
http://arxiv.org/abs/2302.03558
We propose a monitoring strategy for efficient and robust estimation of disease prevalence and case numbers within closed and enumerated populations such as schools, workplaces, or retirement communities. The proposed design relies largely on volunta
Externí odkaz:
http://arxiv.org/abs/2212.04911
Surveillance research is of great importance for effective and efficient epidemiological monitoring of case counts and disease prevalence. Taking specific motivation from ongoing efforts to identify recurrent cases based on the Georgia Cancer Registr
Externí odkaz:
http://arxiv.org/abs/2211.13842
Autor:
Li, Yanran, Coull, Brent A., Krieger, Nancy, Peterson, Emily, Waller, Lance A., Chen, Jarvis T., Nethery, Rachel C.
The US Census Bureau will implement a new privacy-preserving disclosure avoidance system (DAS), which includes application of differential privacy, on the public-release 2020 census data. There are concerns that the DAS may bias small-area and demogr
Externí odkaz:
http://arxiv.org/abs/2209.04316
Autor:
Buller, Ian D., Hacker, Gregory M., Novak, Mark G., Tucker, James R., Peterson, A. Townsend, Waller, Lance A.
Publikováno v:
In Spatial and Spatio-temporal Epidemiology November 2024 51
