Cover Image

A linear mixed model approach for measurement error adjustment: applications to sedentary behavior assessment from wearable devices

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Chen, Ruohui, Rosenberg, Dori, Di, Chongzhi, Zablocki, Rong, Hartman, Sheri J, Lacroix, Andrea, Tu, Xin, Natarajan, Loki, Liu, Lin
Format:	Preprint
Published:	2024
Subjects:	Methodology
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A doubly robust estimator for the Mann Whitney Wilcoxon Rank Sum Test when applied for causal inference in observational studies
by: Chen, Ruohui, et al.
Published: (2024)

Beyond fixed thresholds: optimizing summaries of wearable device data via piecewise linearization of quantile functions
by: Park, Junyoung, et al.
Published: (2025)

Comparison study of variable selection procedures in high-dimensional Gaussian linear regression
by: Lacroix, Perrine, et al.
Published: (2021)

Propensity score adjustment when errors in achievement measures inform treatment assignment
by: Wasserman, Joshua, et al.
Published: (2025)

Scalable regression calibration approaches to correcting measurement error in multi-level generalized functional linear regression models with heteroscedastic measurement errors
by: Luan, Yuanyuan, et al.
Published: (2023)

Kpop: A kernel balancing approach for reducing specification assumptions in survey weighting
by: Hartman, Erin, et al.
Published: (2021)

Penalized mixed models to adjust for batch effects and unobserved confounding in high dimensional regression
by: Lu, Yujing, et al.
Published: (2025)

Optimal Survival Analyses With Prevalent and Incident Patients
by: Hartman, Nicholas
Published: (2024)

Multilevel Longitudinal Functional Principal Component Model
by: Wenyi Lin, et al.
Published: (2024)

Methodological considerations for novel approaches to covariate-adjusted indirect treatment comparisons
by: Remiro-Azócar, Antonio, et al.
Published: (2023)

Random-effects meta-analysis via generalized linear mixed models: A Bartlett-corrected approach for few studies
by: Hanada, Keisuke, et al.
Published: (2025)

Finite sample-optimal adjustment sets in linear Gaussian causal models
by: Rutsch, Nadja, et al.
Published: (2025)

A comparison of mixed-models for the analysis of non-linear longitudinal data: application to late-life cognitive trajectories
by: Wagner, Maude, et al.
Published: (2024)

Goodness-of-fit testing for the error distribution in functional linear models
by: Neumeyer, Natalie, et al.
Published: (2025)

Semiparametric Regression Models for Explanatory Variables with Missing Data due to Detection Limit
by: Zhang, Jasen, et al.
Published: (2025)

Uniform inference in linear mixed models
by: Ekvall, Karl Oskar, et al.
Published: (2025)

Dimension-free bounds in high-dimensional linear regression via error-in-operator approach
by: Noskov, Fedor, et al.
Published: (2025)

A joint longitudinal-survival framework for dynamic treatment regimen evaluation in sequential multiple assignment randomized trials
by: Chen, Zhengxi, et al.
Published: (2026)

Methods for adjusting for covariate measurement error in flexible modelling of functional form: designing a blinded, controlled neutral comparison simulation study
by: Thiébaut, Anne C M, et al.
Published: (2026)

Time to adjust: Improving replicability in experimental psychology by adjustment for evident selective inference
by: Zeevi, Yoav, et al.
Published: (2020)

ADDIS-Graphs for online error control with application to platform trials
by: Fischer, Lasse, et al.
Published: (2023)

Analysis of longitudinal data with destructive sampling using linear mixed models
by: Avellaneda, C. A., et al.
Published: (2024)

Testing for changes in the error distribution in functional linear models
by: Neumeyer, Natalie, et al.
Published: (2024)

Robust inference for linear regression models with possibly skewed error distribution
by: Nandy, Amarnath, et al.
Published: (2024)

Deep mixture of linear mixed models for complex longitudinal data
by: Kock, Lucas, et al.
Published: (2023)

Publication bias adjustment in network meta-analysis: an inverse probability weighting approach using clinical trial registries
by: Huang, Ao, et al.
Published: (2024)

surveygenmod2: A SAS macro for estimating complex survey adjusted generalized linear models and Wald-type tests
by: Padgett, R. Noah, et al.
Published: (2024)

Conditional bootstrap for non-linear mixed effects models
by: Kaisaridi, Sofia, et al.
Published: (2026)

Inference in matrix-valued time series with common stochastic trends and multifactor error structure
by: Chen, Rong, et al.
Published: (2025)

Combined shrinkage of fixed and random effects in linear mixed models using empirical Bayes
by: Amestoy, Matteo, et al.
Published: (2026)

Federated generalized linear mixed models based on one-time shared summary statistics
by: Limpoco, Marie Analiz April, et al.
Published: (2026)

Metropolis-adjusted Subdifferential Langevin Algorithm
by: Ning, Ning
Published: (2025)

Homophily-adjusted social influence estimation
by: Pham, Hanh T. D., et al.
Published: (2024)

confintROB Package: Confindence Intervals in robust linear mixed models
by: Mason, Fabio, et al.
Published: (2024)

Subgroup detection in linear growth curve models with generalized linear mixed model (GLMM) trees
by: Fokkema, Marjolein, et al.
Published: (2023)

Inference with weights: Residualization produces short, valid intervals for varying estimands and varying resampling processes
by: Hartman, Erin, et al.
Published: (2025)

Restricted maximum likelihood estimation in generalized linear mixed models
by: Maestrini, Luca, et al.
Published: (2024)

Dynamic linear regression models for forecasting time series with semi long memory errors
by: Goodwin, Thomas, et al.
Published: (2024)

Hypergraph adjusted plus-minus
by: Josephs, Nathaniel, et al.
Published: (2024)

Targeted Parameter Estimation for Robust Empirical Bayes Ranking
by: Henderson, Nicholas C., et al.
Published: (2025)