Longitudinal Analysis of Electronic Health Information to Identify Possible COVID-19 Sequelae

Autor: Eleanor S. Click, Donald Malec, Jennifer R. Chevinsky, Guoyu Tao, Michael Melgar, Jennifer E. Giovanni, Adi V. Gundlapalli, S. Deblina Datta, Karen K. Wong

Publikováno v: Emerging Infectious Diseases, Vol 29, Iss 2, Pp 389-392 (2023)

Ongoing symptoms might follow acute COVID-19. Using electronic health information, we compared pre‒ and post‒COVID-19 diagnostic codes to identify symptoms that had higher encounter incidence in the post‒COVID-19 period as sequelae. This method

Externí odkaz: https://doaj.org/article/e623877fb0424c2f9be6414ce2ab1e44

Late Conditions Diagnosed 1–4 Months Following an Initial Coronavirus Disease 2019 (COVID-19) Encounter: A Matched-Cohort Study Using Inpatient and Outpatient Administrative Data—United States, 1 March–30 June 2020

Autor: Meredith G Dixon, Lyudmyla Kompaniyets, Guoyu Tao, Amy M. Lavery, Eleanor S. Click, Alyson B. Goodman, Jennifer E Giovanni, S. Deblina Datta, Adi V. Gundlapalli, Jolene H Nakao, Sameer S Kadri, Beau B. Bruce, Donald Malec, Hussain R. Yusuf, Jennifer R Chevinsky, Sharon Saydah, Esther A. Kukielka, William R. MacKenzie

Publikováno v: Clinical Infectious Diseases: An Official Publication of the Infectious Diseases Society of America

Background Late sequelae of COVID-19 have been reported; however, few studies have investigated the time course or incidence of late new COVID-19–related health conditions (post-COVID conditions) after COVID-19 diagnosis. Studies distinguishing pos

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9442cf699a58f958d37b17f6ea30db5b
https://doi.org/10.1093/cid/ciab338

Contrasting Bayesian analysis of survey data and clinical trials

Autor: Donald Malec

Publikováno v: Statistics in Medicine. 20:1363-1371

Although both surveys and clinical trials are amenable to Bayesian hierarchical modelling, the general aims, constraints and actual analysis of each can often vary considerably. First, examples are presented showing how Bayesian hierarchical modellin

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::c86cf696aa7bf99e57de983272a9a601
https://doi.org/10.1002/sim.674

Bayesian Predictive Inference for Units With Small Sample Sizes

Autor: Joseph Sedransk, Donald Malec

Publikováno v: Medical Care. 31:YS66-YS70

The National Health Interview Survey is designed to produce precise estimates for the entire United States but not for individual states. In this study, Bayesian predictive inference is used to provide point estimates and measures of variability for

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::75ed07f62b09edb37e90158d4ef9af47
https://doi.org/10.1097/00005650-199305001-00010

A Bayesian semi-parametric model for small area estimation

Autor: Donald Malec, Peter Müller

Publikováno v: Bertrand Clarke and Subhashis Ghosal, eds., Pushing the Limits of Contemporary Statistics: Contributions in Honor of Jayanta K. Ghosh (Beachwood, Ohio, USA: Institute of Mathematical Statistics, 2008), 223-236

In public health management there is a need to produce subnational estimates of health outcomes. Often, however, funds are not available to collect samples large enough to produce traditional survey sample estimates for each subnational area. Althoug

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::08c5fee94ddf35b3719956f0211e6632