SLE clinical trials: impact of missing data on estimating treatment effects by Joan T Merrill, Leslie Hanrahan, Ken Kalunian, Peter Izmirly, Cuiling Wang, Shankar Viswanathan

“…As expected, the NRI missing data approach yielded the lowest estimated response rates. …”
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IMPLICATIONS OF MISSING-DATA IMPUTATION FOR SURVEY DATA: AN APPLICATION TO TECHNOLOGY ADOPTION by Haluk Gedikoglu, Joseph Parcell

Subjects: “…missing-data…”
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Traffic Flow Prediction With Missing Data Imputed by Tensor Completion Methods by Qin Li, Huachun Tan, Yuankai Wu, Linhui Ye, Fan Ding

Subjects: “…Missing data imputation…”
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Statistical inference for nonignorable missing-data problems: a selective review by Niansheng Tang, Yuanyuan Ju

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A comparison of multiple imputation methods for missing data in longitudinal studies by Md Hamidul Huque, John B. Carlin, Julie A. Simpson, Katherine J. Lee

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Penalized Exponentially Tilted Likelihood for Growing Dimensional Models with Missing Data by Xiaoming Sha, Puying Zhao, Niansheng Tang

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An exploration of the missing data mechanism in an Internet based smoking cessation trial by Jackson Dan, Mason Dan, White Ian R, Sutton Stephen

“…It is often assumed that all such missing data are from participants who have been unsuccessful in giving up smoking (“missing=smoking”). …”
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Overview of Federated Facility to Harmonize, Analyze and Management of Missing Data in Cohorts by Hema Sekhar Reddy Rajula, Veronika Odintsova, Mirko Manchia, Vassilios Fanos

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Dealing with Missing Data using a Selection Algorithm on Rough Sets by Jonathan Prieto-Cubides, Camilo Argoty

“…This paper discusses the so-called missing data problem, i.e. the problem of imputing missing values in information systems. …”
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CONSORT: missing missing data guidelines, the effects on HTA monograph reporting by Sylvestre Yvonne

Research on the generation method of missing data for soft measurement based on GAN by JIANG Dongnian, WANG Renjie

“…Secondly, conditional generative adversarial nets (CGAN) are training using the attributes of missing data. By adding random sequences to the input conditions of CGAN as additional information, the data is generated iteratively in CGAN. …”
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Improving the performance of Bayesian networks in non-ignorable missing data imputation by P. NILOOFAR, M. GANJALI, AND M.R. FARID ROHANI

“…<p>The issue of missing data may arise for researchers who deal with data gathering problems. …”
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Variational Bayesian Inference for Quantile Regression Models with Nonignorable Missing Data by Xiaoning Li, Mulati Tuerde, Xijian Hu

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A Robust Missing Data-Recovering Technique for Mobility Data Mining by Annam Zafar, Muhammad Kamran, Shafqat Ali Shad, Wasif Nisar

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Mapping Uncertainty Due to Missing Data in the Global Ocean Health Index. by Melanie Frazier, Catherine Longo, Benjamin S Halpern

“…One of the ongoing goals of the Ocean Health Index (OHI) has been to improve our approach to dealing with missing data, which is a major source of uncertainty. …”
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A Method for Sensor-Based Activity Recognition in Missing Data Scenario by Tahera Hossain, Md. Atiqur Rahman Ahad, Sozo Inoue

“…Learning with missing data reinforces the model to regulate missing data during the classification of various activities that have missing data in the test module. …”
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Object Tracking Over Distributed WSNs With Consensus on Estimates and Missing Data by Miguel Vazquez-Olguin, Yuriy S. Shmaliy, Oscar Ibarra-Manzano, Jorge Munoz-Minjares, Carlos Lastre-Dominguez

“…However, wireless interaction between the network nodes is often accompanied by missing data, which requires robustness from the estimator. …”
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Parameter Estimation in Spatial Autoregressive Models with Missing Data and Measurement Errors by Tengjun Li, Zhikang Zhang, Yunquan Song

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Improving data sharing in research with context-free encoded missing data. by Marieke P Hoevenaar-Blom, Juliette Guillemont, Tiia Ngandu, Cathrien R L Beishuizen, Nicola Coley, Eric P Moll van Charante, Sandrine Andrieu, Miia Kivipelto, Hilkka Soininen, Carol Brayne, Yannick Meiller, Edo Richard

“…Lack of attention to missing data in research may result in biased results, loss of power and reduced generalizability. …”
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Estimating Galaxy Parameters with Self-organizing Maps and the Effect of Missing Data by Valentina La Torre, Anna Sajina, Andy D. Goulding, Danilo Marchesini, Rachel Bezanson, Alan N. Pearl, Laerte Sodré Jr.

“…We propose a practical method for such recovery of missing data.…”
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