Xihong Lin

TL;DR: In this article, the authors consider local polynomial kernel regression with a single covariate for clustered data using estimating equations and show that it is generally the best strategy to ignore entirely the correlation structure within each cluster and instead pretend that all observations are independent.

TL;DR: Analysis of the full-spectrum transmission dynamics of COVID-19 in Wuhan reveals that multipronged non-pharmaceutical interventions were effective in controlling the outbreak, and highlights that covert infections may pose risks of resurgence when reopening without intervention measures.

TL;DR: In this article, the authors consider inference for a semiparametric stochastic mixed model for longitudinal data and derive maximum penalized likelihood estimators of the regression coefficients and the nonparametric function.

TL;DR: In this article, the authors consider estimating in a semiparametric generalized linear model for clustered data using estimating equations and show that the conventional profile-kernel method often fails to yield a √n-consistent estimator of β along with appropriate inference unless working independence is assumed or θ(t) is artificially undersmoothed, in which case asymptotic inference is possible.

TL;DR: A semiparametric model for quantitative-trait mapping that uses genetic information from multiple tagSNPs simultaneously in analysis but produces a test statistic with reduced degrees of freedom compared to existing multivariate approaches is considered.