2 citations · 2 across the 4 of their papers we have counts for
4 papers
Statistical Considerations in Long COVID Research
Andrea S. Foulkes, Tanayott Thaweethai, Harrison T. Reeder
Long COVID is a condition characterized by ongoing or relapsing symptoms attributable to SARS-CoV-2 infection that are present three or more months after infection. It represents a…
Inverse probability weighting for auxiliary variable dependent sampling in observational studies of Long COVID
Andrea S. Foulkes, Tanayott Thaweethai, Daniel O. Scharfstein +2
Selective testing based on values of auxiliary variables is an increasingly popular design strategy in observational studies and is ubiquitous in electronic health record data. Ign…
Sensitivity analysis for nonignorable missing values in blended analysis framework: a study on the effect of bariatric surgery via electronic health records
Jungwun Lee, Sebastien Haneuse, Rajarshi Mukherjee +1
This paper establishes a series of sensitivity analyses to investigate the impact of missing values in the electronic health records (EHR) that are possibly missing not at random (…
Penalized regression with negative-unlabeled data: An approach to developing a long COVID research index
Harrison T. Reeder, Tanayott Thaweethai, Andrea S. Foulkes
Moderate to severe post-acute sequelae of SARS-CoV-2 infection (PASC), also called long COVID, is estimated to impact as many as 10% of SARS-CoV-2 infected individuals, representin…