Rejoinder: Linear mixed models with endogenous covariates: modeling sequential treatment effects with application to a mobile health study

DOI10.1214/20-STS794OpenAlexW3084334906MaRDI QIDQ2218070

Predrag Klasnja, Tianchen Qian, Susan A. Murphy

Publication date: 12 January 2021

Published in: Statistical Science (Search for Journal in Brave)

Full work available at URL: https://projecteuclid.org/euclid.ss/1599789697

Mathematics Subject Classification ID

Statistics (62-XX)

Cites Work

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• Smoothing and mixed models
• Explicit connections between longitudinal data analysis and kernel machines
• The Analysis of Designed Experiments and Longitudinal Data by Using Smoothing Splines
• Semiparametric Regression of Multidimensional Genetic Pathway Data: Least‐Squares Kernel Machines and Linear Mixed Models
• Marginal modeling of multilevel binary data with time-varying covariates
• Conditional Inference Methods for Incomplete Poisson Data With Endogenous Time-Varying Covariates

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