Skip To Main Content
Hongying Dai on Muck Rack

Hongying Dai

As seen in: MDPI, Taylor & Francis Online, Tobacco Control, JAMA (The Journal of the American Medical Association), JAMA: Journal of the American Medical Association, Medscape, Pediatrics, Healio, Healio Cardiac/Vascular Intervention, American Journal of Public Health and
Is this you? As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work. Claim your profile

Get in touch with Hongying

Contact Hongying, search articles and posts on X, monitor coverage, and track replies from one place.

Learn more about Muck Rack

Actions

Share this page

Is this you?

As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.
Claim your profile

Articles

Full article: Controlling FDR in selecting group-level simultaneous signals from multiple data sources with application to the National COVID Collaborative Cohort data

|
By Runqiu Wang, Ran Dai, Hongying Dai, Evan French
| Taylor & Francis Online
?Mathematical formulae have been encoded as MathML and are displayed in this HTML version using MathJax in order to improve their display. Uncheck the box to turn MathJax off. This feature requires Javascript. Click on a formula to zoom. Abstract One challenge in exploratory association studies using observational data is that the associations between the predictors and the outcome are potentially weak and rare, and the candidate predictors have complex correlation structures.
Open in Who Shared Issue with article?

Bias reduction methods in the hierarchical likelihood approach for shared frailty model of clustered failure time data

|
By Adams Kusi Appiah, Hongying Dai, Gleb Haynatzki
| Taylor & Francis Online
Shared frailty models are widely used for the analyses of multivariate survival data. A hierarchical likelihood (h-likelihood) approach has been developed for estimating the regression parameters and frailty variates, in which the latent frailties are treated as ‘parameters’ and estimated jointly with other parameters of interest. The h-likelihood estimators generally perform well in various frailty models. However, they are known to be biased for non-normal random effects.
Open in Who Shared Issue with article?

Changes in quality of life and mental health outcomes related to vaping cessation among US adults

|
By Hongying Dai, Brian Young, Kansas City
| Tobacco Control Verified
Objectives Vaping cessation has important public health implications. This study seeks to assess longitudinal changes in quality of life and mental health associated with vaping cessation. Methods Data were drawn from the longitudinal wave 5 (December 2018–November 2019) and wave 6 (March 2021–November 2021) of the Population Assessment of Tobacco and Health study, a nationally representative sample of US adults aged 18 and older.
Open in Who Shared Issue with article?
See all 40 licensed articles (41 Total)