Missing Data by Jungs de Almeida, Alessandra, Klein, Lauren, D’Ignazio, Catherine

“…There are several different definitions of missing data. While some might refer to data that is literally absent, as in statistical approaches to missing data that attempts to interpolate what might fill in the gaps,1 others, such as the artist and educator Mimi Ọnụọha, take “missing data” to mean something more political — “something [that] does not exist, but it should.”2 In the same line as Ọnụọha, our definition of missing data refers to information that goes uncounted (or otherwise unrecorded), despite social and political demands that such data should be collected and made available. …”
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Missing data. by Altman, D, Bland, J

Performance of Missing Data Approaches Under Nonignorable Missing Data Conditions by Steffi Pohl, Benjamin Becker

Subjects: “…missing data…”
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Missing data: discussion points from the PSI missing data expert group. by Burzykowski, T, Carpenter, J, Coens, C, Evans, D, France, L, Kenward, M, Lane, P, Matcham, J, Morgan, D, Phillips, A, Roger, J, Sullivan, B, White, I, Yu, L

“…The Points to Consider Document on Missing Data was adopted by the Committee of Health and Medicinal Products (CHMP) in December 2001. …”

Missing data in clinical studies / by 381799 Molenberghs, Geert, Kenward, Michael G., 1956-

Semiparametric theory and missing data / by 262493 Tsiatis, Anastasios A.

Treatment of hydrological missing data / by 251045 Amir Hashim Mohd. Kassim, Tang, Weng Yin, Congress of the Asian and Pacific Division of the International Association for Hydraulic Research (9th : 1994 : Singapore)

Statistical analysis with missing data / by Little, Roderick J. A. 246975, Rubin, Donald B. 246985

Statistical analysis with missing data / by Little, Roderick J. A. 246975, Rubin, Donald B. 246985

Statistical analysis with missing data / by Little, Roderick J. A. author, Rubin, Donald B. author

Handling missing data in research by Priya Ranganathan, Sally Hunsberger

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Missing Data Analysis in Regression by C. G. Marcelino, G. M. C. Leite, P. Celes, C. E. Pedreira

“…The results obtained showed that K-Nearest Neighbors works better than others in the regression of data that has missing data.…”
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Missing Data, Speculative Reading by Rebecca Sutton Koeser, Zoe LeBlanc

“…We recast the problem of missing data as an opportunity and use a combination of time series forecasting, evolutionary models, and recommendation systems to estimate the extent of missing information and speculatively fill in some gaps. …”
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Spatial effects with missing data by Naranjo Matías Guzmán, Mertner Miri, Urban Matthias

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Modeling correlated Missing Data by samy Abdelmoez

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Non-random missing data by Hausman, Jerry A., Spence, Michael

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Quantum Circuit for Imputation of Missing Data by Claudio Sanavio, Simone Tibaldi, Edoardo Tignone, Elisa Ercolessi

Subjects: “…Imputation missing data…”
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Missing Data Imputation for Supervised Learning by Jason Poulos, Rafael Valle

“…Missing data imputation can help improve the performance of prediction models in situations where missing data hide useful information. …”
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Missing Data Imputation for Categorical Variables by Jaroslav Horníček, Hana Řezanková

“…Dealing with missing data is a crucial part of everyday data analysis. …”
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The Hound of the Baskervilles and the Meaning of Missing Data by Jim Elliott

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