Non‐ignorable missingness item response theory models for choice effects in examinee‐selected items
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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
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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
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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