Flexible Imputation of Missing Data, Second Edition
From MaRDI portal
Publication:5225980
DOI10.1201/9780429492259zbMath1416.62030OpenAlexW2891381594MaRDI QIDQ5225980
Publication date: 29 July 2019
Full work available at URL: https://doi.org/10.1201/9780429492259
Lua error in Module:PublicationMSCList at line 37: attempt to index local 'msc_result' (a nil value).
Related Items (41)
An ensemble learning method for variable selection: application to high-dimensional data and missing values ⋮ Unnamed Item ⋮ Nonlinear predictive directions in clinical trials ⋮ General-purpose imputation of planned missing data in social surveys: different strategies and their effect on correlations ⋮ Extended missing data imputation via GANs for ranking applications ⋮ A latent class analysis towards stability and changes in breadwinning patterns among coupled households ⋮ Clustering with missing data: which equivalent for Rubin's rules? ⋮ Evaluation of approaches for accommodating interactions and non‐linear terms in multiple imputation of incomplete three‐level data ⋮ Multiple imputation regression discontinuity designs: Alternative to regression discontinuity designs to estimate the local average treatment effect at the cutoff ⋮ Asymptotic‐based bootstrap approach for matched pairs with missingness in a single arm ⋮ Using independent cross‐sectional survey data to predict post‐migration health trajectories among refugees by estimating transition probabilities and their variances ⋮ Missing data: A statistical framework for practice ⋮ A Bayesian Singular Value Decomposition Procedure for Missing Data Imputation ⋮ Is there a role for statistics in artificial intelligence? ⋮ Bayesian inference for quantile autoregressive model with explanatory variables ⋮ How to test the missing data mechanism in a hidden Markov model ⋮ Multiple imputation of ordinal missing not at random data ⋮ Accounting for dependent errors in predictors and time-to-event outcomes using electronic health records, validation samples and multiple imputation ⋮ Probabilistic HIV recency classification -- a logistic regression without labeled individual level training data ⋮ Imputation strategies for clustering mixed-type data with missing values ⋮ Bandwidth selection for statistical matching and prediction ⋮ Rescaled bootstrap confidence intervals for the population variance in the presence of outliers or spikes in the distribution of a variable of interest ⋮ Book review of: C. Geiser, Longitudinal structural equation modeling with Mplus: a latent state-trait perspective ⋮ Optimal Integrating Learning for Split Questionnaire Design Type Data ⋮ A stacked approach for chained equations multiple imputation incorporating the substantive model ⋮ An enhanced method for tail index estimation under missingness ⋮ Imputation Scores ⋮ Clustering Data with Nonignorable Missingness using Semi-Parametric Mixture Models ⋮ Evaluation of four multiple imputation methods for handling missing binary outcome data in the presence of an interaction between a dummy and a continuous variable ⋮ Flexible and Interpretable Models for Survival Data ⋮ Doubly robust treatment effect estimation with missing attributes ⋮ Predictive spreadsheet autocompletion with constraints ⋮ Pull your small area estimates up by the bootstraps ⋮ Data fusion using factor analysis and low-rank matrix completion ⋮ Unsupervised domain adaptation with non-stochastic missing data ⋮ Maximum likelihood multiple imputation: faster imputations and consistent standard errors without posterior draws ⋮ Unnamed Item ⋮ Assessment of the effect of constraints in a new multivariate mixed method for statistical matching ⋮ A note on imputing squares via polynomial combination approach ⋮ A new robust ratio estimator by modified Cook's distance for missing data imputation ⋮ Book review of: R. J. Little and D. B. Rubin, Statistical analysis with missing data
Uses Software
This page was built for publication: Flexible Imputation of Missing Data, Second Edition