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2005, Foundations and trends in theoretical computer science, ISBN 9781933019147, Volume 1, issue 2 (2005), Issue 2, vi, 126
Book
2006, ISBN 9780521674362, ix, 489
Matched sampling is often used to help assess the causal effect of some exposure or intervention, typically when randomized experiments are not available or... 
Sampling (Statistics) | Statistical matching | Mathematics
Book
Journal of statistical software, ISSN 1548-7660, 2016, Volume 74, Issue 7, pp. 1 - 16
The package VIM (Templ, Alfons, Kowarik, and Prantner 2016) is developed to explore and analyze the structure of missing values in data using visualization... 
Imputation methods | Missing values | imputation methods | MISSING DATA | STATISTICS & PROBABILITY | COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | MULTIPLE IMPUTATION | missing values
Journal Article
Pattern recognition, ISSN 0031-3203, 2008, Volume 41, Issue 12, pp. 3692 - 3705
Numerous industrial and research databases include missing values. It is not uncommon to encounter databases that have up to a half of the entries missing,... 
Multiple imputations | Missing values | Single imputation | Classification | Imputation of missing values | multiple imputations | single imputation | classification | imputation of missing values | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | missing values | ENGINEERING, ELECTRICAL & ELECTRONIC
Journal Article
American journal of epidemiology, ISSN 1476-6256, 2012, Volume 175, Issue 3, pp. 210 - 217
Journal Article
International statistical review, ISSN 0306-7734, 2019, Volume 87, Issue S1, pp. S192 - S218
Journal Article
by Guerreiro, Rita and Ross, Owen A and Kun-Rodrigues, Celia and Hernandez, Dena G and Orme, Tatiana and Eicher, John D and Shepherd, Claire E and Parkkinen, Laura and Darwent, Lee and Heckman, Michael G and Scholz, Sonja W and Troncoso, Juan C and Pletnikova, Olga and Ansorge, Olaf and Clarimon, Jordi and Lleo, Alberto and Morenas-Rodriguez, Estrella and Clark, Lorraine and Honig, Lawrence S and Marder, Karen and Lemstra, Afina and Rogaeva, Ekaterina and St George-Hyslop, Peter and Londos, Elisabet and Zetterberg, Henrik and Barber, Imelda and Braae, Anne and Brown, Kristelle and Morgan, Kevin and Troakes, Claire and Al-Sarraj, Safa and Lashley, Tammaryn and Holton, Janice and Compta, Yaroslau and Van Deerlin, Vivianna and Serrano, Geidy E and Beach, Thomas G and Lesage, Suzanne and Galasko, Douglas and Masliah, Eliezer and Santana, Isabel and Pastor, Pau and Diez-Fairen, Monica and Aguilar, Miquel and Tienari, Pentti J and Myllykangas, Liisa and Oinas, Minna and Revesz, Tamas and Lees, Andrew and Boeve, Brad F and Petersen, Ronald C and Ferman, Tanis J and Escott-Price, Valentina and Graff-Radford, Neill and Cairns, Nigel J and Morris, John C and Pickering-Brown, Stuart and Mann, David and Halliday, Glenda M and Hardy, John and Trojanowski, John Q and Dickson, Dennis W and Singleton, Andrew and Stone, David J and Bras, Jose and Sahlgrenska akademin and Institutionen för neurovetenskap och fysiologi, sektionen för psykiatri och neurokemi and Göteborgs universitet and Gothenburg University and Institute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry and Sahlgrenska Academy
Lancet neurology, ISSN 1474-4422, 2018, Volume 17, Issue 1, pp. 64 - 74
Journal Article
Stata Journal, ISSN 1536-867X, 2009, Volume 9, Issue 4, pp. 524 - 546
In this article, we introduce a Stata implementation of coarsened exact matching, a new method for improving the estimation of causal effects by reducing... 
Causal inference | Matching | Imbalance | Cem | St0176 | Multiple imputation | Balance | Coarsened exact matching | coarsened exact matching | imbalance | balance | st0176 | multiple imputation | STATISTICS & PROBABILITY | cem | causal inference | matching | Measurement | Multiple imputation (Statistics) | Usage
Journal Article
Journal of statistical planning and inference, ISSN 0378-3758, 2020, Volume 206, pp. 84 - 99
Item non-response in surveys is usually handled by single imputation, whose main objective is to reduce the non-response bias. Imputation methods need to be... 
Regression imputation | Balanced imputation | Mixture model | Item non response | Imputation model | DESIGN | BIAS | STATISTICS & PROBABILITY | INFERENCE | Methodology | Statistics
Journal Article