Bootstrapping Clustered Data
From MaRDI portal
Publication:5087445
DOI10.1111/j.1467-9868.2007.00593.xOpenAlexW2084007633MaRDI QIDQ5087445
Publication date: 11 July 2022
Published in: Journal of the Royal Statistical Society Series B: Statistical Methodology (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1111/j.1467-9868.2007.00593.x
Related Items (27)
Is it even rainier inNorthVancouver? A non-parametric rank-based test for semicontinuous longitudinal data ⋮ Bootstrapping for highly unbalanced clustered data ⋮ Overdispersion in allelic counts and \(\theta\)-correction in forensic genetics ⋮ Rank intraclass correlation for clustered data ⋮ Classification trees for poverty mapping ⋮ Bootstrapping longitudinal data with multiple levels of variation ⋮ Tree-based varying coefficient regression for longitudinal ordinal responses ⋮ Weighted composite quantile regression for longitudinal mixed effects models with application to AIDS studies ⋮ Estimating mode effects from a sequential mixed-mode experiment using structural moment models ⋮ Grouped Generalized Estimating Equations for Longitudinal Data Analysis ⋮ Non‐parametric regression in clustered multistate current status data with informative cluster size ⋮ Directions Old and New: Palaeomagnetism and Fisher (1953) Meet Modern Statistics ⋮ Analyzing longitudinal clustered count data with zero inflation: Marginal modeling using the Conway–Maxwell–Poisson distribution ⋮ Nonparametric analysis of nonhomogeneous multistate processes with clustered observations ⋮ Variance estimation in inverse probability weighted Cox models ⋮ Alternative fixed-effects panel model using weighted asymmetric least squares regression ⋮ A generalized single‐index linear threshold model for identifying treatment‐sensitive subsets based on multiple covariates and longitudinal measurements ⋮ Temporally resolved measurements of heavy, rigid fibre translation and rotation in nearly homogeneous isotropic turbulence ⋮ Assessing the predictive ability of a multilevel binary regression model ⋮ Nonparametric bootstrapping for hierarchical data ⋮ An Efficient Morris Method-Based Framework for Simulation Factor Screening ⋮ A general permutation approach for analyzing repeated measures ANOVA and mixed-model designs ⋮ Bootstrap ICC estimators in analysis of small clustered binary data ⋮ Nonparametric estimation and bootstrap confidence intervals for the optimal maintenance time of a repairable system ⋮ Mixed-effects random forest for clustered data ⋮ Hierarchical time-varying mixed-effects models in high-dimensional time series and longitudinal data studies ⋮ Augmented weighted estimators dealing with practical positivity violation to causal inferences in a random coefficient model
This page was built for publication: Bootstrapping Clustered Data