X
Xihong Lin
Researcher at Harvard University
Publications - 389
Citations - 32083
Xihong Lin is an academic researcher from Harvard University. The author has contributed to research in topics: Population & Genome-wide association study. The author has an hindex of 76, co-authored 361 publications receiving 26162 citations. Previous affiliations of Xihong Lin include Texas A&M University & University of Washington.
Papers
More filters
Journal ArticleDOI
A comparison of three different sleep schedules for reducing daytime sleepiness in narcolepsy.
TL;DR: Scheduled sleep periods are helpful for only those patients who remain profoundly sleepy despite stimulant medications and should not be prescribed for all patients with narcolepsy.
Journal ArticleDOI
Population-scale longitudinal mapping of COVID-19 symptoms, behaviour and testing.
William E. Allen,William E. Allen,Han Altae-Tran,Han Altae-Tran,James Briggs,James Briggs,Xin Jin,Xin Jin,Glen McGee,Andy Shi,Rumya Raghavan,Rumya Raghavan,Mireille Kamariza,Mireille Kamariza,Nicole Nova,Albert Pereta,Chris Danford,Amine Kamel,Patrik Gothe,Evrhet Milam,Jean Aurambault,Thorben Primke,Weijie Li,Josh Inkenbrandt,Tuan Huynh,Evan Chen,Christina Lee,Michael Croatto,Helen Bentley,Wendy Lu,Robert Murray,Mark A. Travassos,Brent A. Coull,John J. Openshaw,Casey S. Greene,Ophir Shalem,Gary King,Ryan Probasco,David R. Cheng,Ben Silbermann,Feng Zhang,Xihong Lin +41 more
TL;DR: It is shown that self-reported surveys can be used to build predictive models to identify likely COVID-19-positive individuals and highlight the utility of collecting a diverse set of symptomatic, demographic, exposure and behavioural self- reported data to fight the CO VID-19 pandemic.
Journal ArticleDOI
Operating characteristics of the rank-based inverse normal transformation for quantitative trait analysis in genome-wide association studies.
TL;DR: The results demonstrate that, for nonnormally distributed traits, INT‐based tests outperform the standard untransformed association test, both in terms of power and type I error rate control.
Journal ArticleDOI
Equivalent Kernels of Smoothing Splines in Nonparametric Regression for Clustered/Longitudinal Data
TL;DR: In this article, the authors show that smoothing spline estimators are asymptotically equivalent to a seemingly unrelated kernel estimator for any working covariance matrix and that both estimators can be obtained iteratively by applying conventional kernel or spline smoothing to pseudo-observations.
Journal ArticleDOI
Analysis of Multivariate Longitudinal Outcomes With Nonignorable Dropouts and Missing Covariates: Changes in Methadone Treatment Practices
Jason Roy,Xihong Lin +1 more
TL;DR: In this article, the authors analyzed changes in treatment practices in outpatient methadone treatment units from a national panel study and found that a substantial percentage of units did not respond during the follow-up.