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Information-decomposition-model-based missing value estimation for not missing at random dataset
International Journal of Machine Learning and Cybernetics, 2015Missing data estimation is an important strategy for improving learning performance in learning from incomplete data, especially, when there are non discardable records with missing values. However, most of the existing algorithms are focused on missing at random (MAR) or missing completely at random (MCAR), and less attention has been paid to data not
Liu, Shigang, Dai, Honghua, Gan, Min
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Nonparametric causal inference with confounders missing not at random
Statistica NeerlandicaWe consider the estimation and inference of Average Causal Effects (ACE) when confounders are missing not at random. The identification has been discussed in literature; however, limited effort has been devoted into developing feasible nonparametric inference methods. The primary challenge arises from the estimation process of the missingness mechanism,
Shan, Jiawei, Yan, Xinyu
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Semiparametric maximum likelihood estimation with data missing not at random
Canadian Journal of Statistics, 2017AbstractNonresponse is frequently encountered in empirical studies. When the response mechanism is missing not at random (MNAR) statistical inference using the observed data is quite challenging. Handling MNAR data often requires two model assumptions: one for the outcome and the other for the response propensity.
Kosuke Morikawa +2 more
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Missing not at random models for latent growth curve analyses.
Psychological Methods, 2011The past decade has seen a noticeable shift in missing data handling techniques that assume a missing at random (MAR) mechanism, where the propensity for missing data on an outcome is related to other analysis variables. Although MAR is often reasonable, there are situations where this assumption is unlikely to hold, leading to biased parameter ...
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Sensitivity Analysis When Data Are Missing Not-at-random
Epidemiology, 2011Noémie, Resseguier +2 more
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Statistical Analysis Methods under the Missing Not At Random Assumption
Ouyou toukeigaku, 2017Masaaki Doi +3 more
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5th NATIONAL CANCER CONFERENCE: Philadelphia 1964--Random Reminiscences
Ca-A Cancer Journal for Clinicians, 1964exaly