Non‐ignorable missingness item response theory models for choice effects in examinee‐selected items
Sign Up to like & getrecommendations! Published in 2017 at "British Journal of Mathematical and Statistical Psychology"
DOI: 10.1111/bmsp.12097
Abstract: Examinee-selected item (ESI) design, in which examinees are required to respond to a fixed number of items in a given set, always yields incomplete data (i.e., when only the selected items are answered, data are… read more here.
Keywords: examinee selected; item response; selected items; model ... See more keywords
Examining Nonnormal Latent Variable Distributions for Non-Ignorable Missing Data
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DOI: 10.1177/0146621621990753
Abstract: Missing not at random (MNAR) modeling for non-ignorable missing responses usually assumes that the latent variable distribution is a bivariate normal distribution. Such an assumption is rarely verified and often employed as a standard in… read more here.
Keywords: ignorable missing; nonnormal latent; distribution; non ignorable ... See more keywords
Sensitivity analysis for calibrated inverse probability-of-censoring weighted estimators under non-ignorable dropout
Sign Up to like & getrecommendations! Published in 2022 at "Statistical Methods in Medical Research"
DOI: 10.1177/09622802221090763
Abstract: Inverse probability of censoring weighting is a popular approach to handling dropout in longitudinal studies. However, inverse probability-of-censoring weighted estimators (IPCWEs) can be inefficient and unstable if the weights are estimated by maximum likelihood. To… read more here.
Keywords: probability censoring; sensitivity; sensitivity analysis; ignorable dropout ... See more keywords
Flexible modeling of multiple nonlinear longitudinal trajectories with censored and non-ignorable missing outcomes
Sign Up to like & getrecommendations! Published in 2023 at "Statistical Methods in Medical Research"
DOI: 10.1177/09622802221146312
Abstract: Multivariate nonlinear mixed-effects models (MNLMMs) have become a promising tool for analyzing multi-outcome longitudinal data following nonlinear trajectory patterns. However, such a classical analysis can be challenging due to censorship induced by detection limits of… read more here.
Keywords: modeling multiple; multiple nonlinear; flexible modeling; non ignorable ... See more keywords
Estimating the Complier Average Causal Effect with Non-Ignorable Missing Outcomes Using Likelihood Analysis
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DOI: 10.3390/math12091300
Abstract: Missing data problems arise in randomized trials, which complicates the inference of causal effects if the missing mechanism is non-ignorable. We tackle the challenge of identifying and estimating the complier average causal effect parameters under… read more here.
Keywords: non ignorable; estimating complier; average causal; complier average ... See more keywords
Bayesian Analysis of Nonlinear Quantile Structural Equation Model with Possible Non-Ignorable Missingness
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DOI: 10.3390/math13193094
Abstract: This paper develops a nonlinear quantile structural equation model via the Bayesian approach, aiming to more accurately analyze the relationships between latent variables, with special attention paid to the issue of non-ignorable missing data in… read more here.
Keywords: quantile structural; non ignorable; structural equation; equation model ... See more keywords