Covariate-Adjusted Regression for Distorted Longitudinal Data With Informative Observation Times
Sign Up to like & getrecommendations! Published in 2019 at "Journal of the American Statistical Association"
DOI: 10.1080/01621459.2018.1482757
Abstract: ABSTRACT In many longitudinal studies, repeated response and predictors are not directly observed, but can be treated as distorted by unknown functions of a common confounding covariate. Moreover, longitudinal data involve an observation process which… read more here.
Keywords: longitudinal data; observation times; response; distorted longitudinal ... See more keywords
Covariate-adjusted Gaussian graphical model estimation with false discovery rate control
Sign Up to like & getrecommendations! Published in 2020 at "Communications in Statistics - Theory and Methods"
DOI: 10.1080/03610926.2020.1752385
Abstract: Abstract Recent genetic/genomic studies have shown that genetic markers can have potential effects on the dependence structure of genes. Motivated by such findings, we are interested in the estimation of covariate-adjusted Gaussian graphical model (CGGM).… read more here.
Keywords: adjusted gaussian; gaussian graphical; false discovery; graphical model ... See more keywords
Rejoinder to "On exact randomization-based covariate-adjusted confidence intervals" by Jacob Fiksel.
Sign Up to like & getrecommendations! Published in 2024 at "Biometrics"
DOI: 10.1093/biomtc/ujae052
Abstract: We applaud Fiksel (2024) for their valuable contributions to randomization-based inference, particularly their work on inverting the Fisher randomization test (FRT) to construct confidence intervals using the covariate-adjusted test statistic. FRT is advocated by many… read more here.
Keywords: randomization; confidence intervals; covariate adjusted; randomization based ... See more keywords
A Sharp Analysis of Covariate Adjusted Precision Matrix Estimation via Alternating Projected Gradient Descent
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2022.3159402
Abstract: In this letter, we present a sharp algorithmic analysis for alternating projected gradient descent which is used to solve the covariate adjusted precision matrix estimation problem in high-dimensional settings. By introducing a new analytical tool… read more here.
Keywords: covariate adjusted; gradient descent; alternating projected; projected gradient ... See more keywords
On the achievability of efficiency bounds for covariate-adjusted response-adaptive randomization.
Sign Up to like & getrecommendations! Published in 2025 at "Statistical methods in medical research"
DOI: 10.1177/09622802251327689
Abstract: In the context of precision medicine, covariate-adjusted response-adaptive (CARA) randomization has garnered much attention from both academia and industry due to its benefits in providing ethical and tailored treatment assignments based on patients' profiles while… read more here.
Keywords: efficiency; efficiency bound; response adaptive; adjusted response ... See more keywords
The Covariate-Adjusted ROC Curve: The Concept and Its Importance, Review of Inferential Methods, and a New Bayesian Estimator
Sign Up to like & getrecommendations! Published in 2022 at "Statistical Science"
DOI: 10.1214/21-sts839
Abstract: Accurate diagnosis of disease is of fundamental importance in clinical practice and medical research. Before a medical diagnostic test is routinely used in practice, its ability to distinguish between diseased and nondiseased states must be… read more here.
Keywords: roc curve; covariate adjusted; adjusted roc;