Imputation (statistics) (English Wikipedia)

Analysis of information sources in references of the Wikipedia article "Imputation (statistics)" in English language version.

refsWebsite

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15doi.org

2^nd place

10nih.gov

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9semanticscholar.org

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8worldcat.org

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2cambridge.org

305^th place

264^th place

2web.archive.org

1^st place

1arxiv.org

69^th place

59^th place

1harvard.edu

18^th place

17^th place

1sas.com

low place

arxiv.org

Ren, Bin; Pueyo, Laurent; Chen, Christine; Choquet, Elodie; Debes, John H; Duchene, Gaspard; Menard, Francois; Perrin, Marshall D. (2020). "Using Data Imputation for Signal Separation in High Contrast Imaging". The Astrophysical Journal. 892 (2): 74. arXiv:2001.00563. Bibcode:2020ApJ...892...74R. doi:10.3847/1538-4357/ab7024. S2CID 209531731.

cambridge.org

Lall, Ranjit (2016). "How Multiple Imputation Makes a Difference". Political Analysis. 24 (4): 414–433. doi:10.1093/pan/mpw020.
King, Gary; Honaker, James; Joseph, Anne; Scheve, Kenneth (March 2001). "Analyzing Incomplete Political Science Data: An Alternative Algorithm for Multiple Imputation". American Political Science Review. 95 (1): 49–69. doi:10.1017/S0003055401000235. ISSN 1537-5943. S2CID 15484116.

doi.org

Barnard, J.; Meng, X. L. (1999-03-01). "Applications of multiple imputation in medical studies: from AIDS to NHANES". Statistical Methods in Medical Research. 8 (1): 17–36. doi:10.1177/096228029900800103. ISSN 0962-2802. PMID 10347858. S2CID 11453137.
Lall, Ranjit (2016). "How Multiple Imputation Makes a Difference". Political Analysis. 24 (4): 414–433. doi:10.1093/pan/mpw020.
Kenward, Michael G (2013-02-26). "The handling of missing data in clinical trials". Clinical Investigation. 3 (3): 241–250. doi:10.4155/cli.13.7. ISSN 2041-6792.
Molnar, Frank J.; Hutton, Brian; Fergusson, Dean (2008-10-07). "Does analysis using "last observation carried forward" introduce bias in dementia research?". Canadian Medical Association Journal. 179 (8): 751–753. doi:10.1503/cmaj.080820. ISSN 0820-3946. PMC 2553855. PMID 18838445.
Ren, Bin; Pueyo, Laurent; Chen, Christine; Choquet, Elodie; Debes, John H; Duchene, Gaspard; Menard, Francois; Perrin, Marshall D. (2020). "Using Data Imputation for Signal Separation in High Contrast Imaging". The Astrophysical Journal. 892 (2): 74. arXiv:2001.00563. Bibcode:2020ApJ...892...74R. doi:10.3847/1538-4357/ab7024. S2CID 209531731.
Rubin, Donald (9 June 1987). Multiple imputation for nonresponse in surveys. Wiley Series in Probability and Statistics. Wiley. doi:10.1002/9780470316696. ISBN 9780471087052.
Van Buuren, Stef (2012-03-29). "2. Multiple Imputation". Flexible Imputation of Missing Data. Chapman & Hall/CRC Interdisciplinary Statistics Series. Vol. 20125245. Chapman and Hall/CRC. doi:10.1201/b11826. ISBN 9781439868249. S2CID 60316970.
King, Gary; Honaker, James; Joseph, Anne; Scheve, Kenneth (March 2001). "Analyzing Incomplete Political Science Data: An Alternative Algorithm for Multiple Imputation". American Political Science Review. 95 (1): 49–69. doi:10.1017/S0003055401000235. ISSN 1537-5943. S2CID 15484116.
Pepinsky, Thomas B. (2018-08-03). "A Note on Listwise Deletion versus Multiple Imputation". Political Analysis. 26 (4). Cambridge University Press (CUP): 480–488. doi:10.1017/pan.2018.18. ISSN 1047-1987.
Azur, Melissa J.; Stuart, Elizabeth A.; Frangakis, Constantine; Leaf, Philip J. (2011-03-01). "Multiple imputation by chained equations: what is it and how does it work?". International Journal of Methods in Psychiatric Research. 20 (1): 40–49. doi:10.1002/mpr.329. ISSN 1557-0657. PMC 3074241. PMID 21499542.
Lall, Ranjit; Robinson, Thomas (2021). "The MIDAS Touch: Accurate and Scalable Missing-Data Imputation with Deep Learning". Political Analysis. 30 (2): 179–196. doi:10.1017/pan.2020.49.
Graham, John W. (2009-01-01). "Missing data analysis: making it work in the real world". Annual Review of Psychology. 60: 549–576. doi:10.1146/annurev.psych.58.110405.085530. ISSN 0066-4308. PMID 18652544.
Irwin, Benedict (2020-06-01). "Practical Applications of Deep Learning to Impute Heterogeneous Drug Discovery Data". Journal of Chemical Information and Modeling. 60 (6): 2848–2857. doi:10.1021/acs.jcim.0c00443. PMID 32478517. S2CID 219171721.
Whitehead, Thomas (2019-02-12). "Imputation of Assay Bioactivity Data Using Deep Learning". Journal of Chemical Information and Modeling. 59 (3): 1197–1204. doi:10.1021/acs.jcim.8b00768. PMID 30753070. S2CID 73429643.
Horton, Nicholas J.; Kleinman, Ken P. (2007-02-01). "Much ado about nothing: A comparison of missing data methods and software to fit incomplete data regression models". The American Statistician. 61 (1): 79–90. doi:10.1198/000313007X172556. ISSN 0003-1305. PMC 1839993. PMID 17401454.

harvard.edu

ui.adsabs.harvard.edu

Ren, Bin; Pueyo, Laurent; Chen, Christine; Choquet, Elodie; Debes, John H; Duchene, Gaspard; Menard, Francois; Perrin, Marshall D. (2020). "Using Data Imputation for Signal Separation in High Contrast Imaging". The Astrophysical Journal. 892 (2): 74. arXiv:2001.00563. Bibcode:2020ApJ...892...74R. doi:10.3847/1538-4357/ab7024. S2CID 209531731.

nih.gov

pubmed.ncbi.nlm.nih.gov

Barnard, J.; Meng, X. L. (1999-03-01). "Applications of multiple imputation in medical studies: from AIDS to NHANES". Statistical Methods in Medical Research. 8 (1): 17–36. doi:10.1177/096228029900800103. ISSN 0962-2802. PMID 10347858. S2CID 11453137.
Molnar, Frank J.; Hutton, Brian; Fergusson, Dean (2008-10-07). "Does analysis using "last observation carried forward" introduce bias in dementia research?". Canadian Medical Association Journal. 179 (8): 751–753. doi:10.1503/cmaj.080820. ISSN 0820-3946. PMC 2553855. PMID 18838445.
Azur, Melissa J.; Stuart, Elizabeth A.; Frangakis, Constantine; Leaf, Philip J. (2011-03-01). "Multiple imputation by chained equations: what is it and how does it work?". International Journal of Methods in Psychiatric Research. 20 (1): 40–49. doi:10.1002/mpr.329. ISSN 1557-0657. PMC 3074241. PMID 21499542.
Graham, John W. (2009-01-01). "Missing data analysis: making it work in the real world". Annual Review of Psychology. 60: 549–576. doi:10.1146/annurev.psych.58.110405.085530. ISSN 0066-4308. PMID 18652544.
Irwin, Benedict (2020-06-01). "Practical Applications of Deep Learning to Impute Heterogeneous Drug Discovery Data". Journal of Chemical Information and Modeling. 60 (6): 2848–2857. doi:10.1021/acs.jcim.0c00443. PMID 32478517. S2CID 219171721.
Whitehead, Thomas (2019-02-12). "Imputation of Assay Bioactivity Data Using Deep Learning". Journal of Chemical Information and Modeling. 59 (3): 1197–1204. doi:10.1021/acs.jcim.8b00768. PMID 30753070. S2CID 73429643.
Horton, Nicholas J.; Kleinman, Ken P. (2007-02-01). "Much ado about nothing: A comparison of missing data methods and software to fit incomplete data regression models". The American Statistician. 61 (1): 79–90. doi:10.1198/000313007X172556. ISSN 0003-1305. PMC 1839993. PMID 17401454.

ncbi.nlm.nih.gov

Molnar, Frank J.; Hutton, Brian; Fergusson, Dean (2008-10-07). "Does analysis using "last observation carried forward" introduce bias in dementia research?". Canadian Medical Association Journal. 179 (8): 751–753. doi:10.1503/cmaj.080820. ISSN 0820-3946. PMC 2553855. PMID 18838445.
Azur, Melissa J.; Stuart, Elizabeth A.; Frangakis, Constantine; Leaf, Philip J. (2011-03-01). "Multiple imputation by chained equations: what is it and how does it work?". International Journal of Methods in Psychiatric Research. 20 (1): 40–49. doi:10.1002/mpr.329. ISSN 1557-0657. PMC 3074241. PMID 21499542.
Horton, Nicholas J.; Kleinman, Ken P. (2007-02-01). "Much ado about nothing: A comparison of missing data methods and software to fit incomplete data regression models". The American Statistician. 61 (1): 79–90. doi:10.1198/000313007X172556. ISSN 0003-1305. PMC 1839993. PMID 17401454.

sas.com

support.sas.com

Yuan, Yang C. (2010). "Multiple imputation for missing data: Concepts and new development" (PDF). SAS Institute Inc., Rockville, MD. 49: 1–11. Archived from the original (PDF) on 2018-11-03. Retrieved 2018-01-17.

semanticscholar.org

api.semanticscholar.org

Barnard, J.; Meng, X. L. (1999-03-01). "Applications of multiple imputation in medical studies: from AIDS to NHANES". Statistical Methods in Medical Research. 8 (1): 17–36. doi:10.1177/096228029900800103. ISSN 0962-2802. PMID 10347858. S2CID 11453137.
Kalton, Graham; Kasprzyk, Daniel (1982). "Imputing for missing survey responses" (PDF). Proceedings of the Section on Survey Research Methods. 22. American Statistical Association. S2CID 195855359. Archived from the original (PDF) on 2020-02-12.
Ren, Bin; Pueyo, Laurent; Chen, Christine; Choquet, Elodie; Debes, John H; Duchene, Gaspard; Menard, Francois; Perrin, Marshall D. (2020). "Using Data Imputation for Signal Separation in High Contrast Imaging". The Astrophysical Journal. 892 (2): 74. arXiv:2001.00563. Bibcode:2020ApJ...892...74R. doi:10.3847/1538-4357/ab7024. S2CID 209531731.
Van Buuren, Stef (2012-03-29). "2. Multiple Imputation". Flexible Imputation of Missing Data. Chapman & Hall/CRC Interdisciplinary Statistics Series. Vol. 20125245. Chapman and Hall/CRC. doi:10.1201/b11826. ISBN 9781439868249. S2CID 60316970.
King, Gary; Honaker, James; Joseph, Anne; Scheve, Kenneth (March 2001). "Analyzing Incomplete Political Science Data: An Alternative Algorithm for Multiple Imputation". American Political Science Review. 95 (1): 49–69. doi:10.1017/S0003055401000235. ISSN 1537-5943. S2CID 15484116.
Irwin, Benedict (2020-06-01). "Practical Applications of Deep Learning to Impute Heterogeneous Drug Discovery Data". Journal of Chemical Information and Modeling. 60 (6): 2848–2857. doi:10.1021/acs.jcim.0c00443. PMID 32478517. S2CID 219171721.
Whitehead, Thomas (2019-02-12). "Imputation of Assay Bioactivity Data Using Deep Learning". Journal of Chemical Information and Modeling. 59 (3): 1197–1204. doi:10.1021/acs.jcim.8b00768. PMID 30753070. S2CID 73429643.

semanticscholar.org

Kenward, Michael G (2013-02-26). "The handling of missing data in clinical trials". Clinical Investigation. 3 (3): 241–250. doi:10.4155/cli.13.7. ISSN 2041-6792.

pdfs.semanticscholar.org

Kalton, Graham; Kasprzyk, Daniel (1982). "Imputing for missing survey responses" (PDF). Proceedings of the Section on Survey Research Methods. 22. American Statistical Association. S2CID 195855359. Archived from the original (PDF) on 2020-02-12.

web.archive.org

Kalton, Graham; Kasprzyk, Daniel (1982). "Imputing for missing survey responses" (PDF). Proceedings of the Section on Survey Research Methods. 22. American Statistical Association. S2CID 195855359. Archived from the original (PDF) on 2020-02-12.
Yuan, Yang C. (2010). "Multiple imputation for missing data: Concepts and new development" (PDF). SAS Institute Inc., Rockville, MD. 49: 1–11. Archived from the original (PDF) on 2018-11-03. Retrieved 2018-01-17.

worldcat.org

search.worldcat.org

Barnard, J.; Meng, X. L. (1999-03-01). "Applications of multiple imputation in medical studies: from AIDS to NHANES". Statistical Methods in Medical Research. 8 (1): 17–36. doi:10.1177/096228029900800103. ISSN 0962-2802. PMID 10347858. S2CID 11453137.
Kenward, Michael G (2013-02-26). "The handling of missing data in clinical trials". Clinical Investigation. 3 (3): 241–250. doi:10.4155/cli.13.7. ISSN 2041-6792.
Molnar, Frank J.; Hutton, Brian; Fergusson, Dean (2008-10-07). "Does analysis using "last observation carried forward" introduce bias in dementia research?". Canadian Medical Association Journal. 179 (8): 751–753. doi:10.1503/cmaj.080820. ISSN 0820-3946. PMC 2553855. PMID 18838445.
King, Gary; Honaker, James; Joseph, Anne; Scheve, Kenneth (March 2001). "Analyzing Incomplete Political Science Data: An Alternative Algorithm for Multiple Imputation". American Political Science Review. 95 (1): 49–69. doi:10.1017/S0003055401000235. ISSN 1537-5943. S2CID 15484116.
Pepinsky, Thomas B. (2018-08-03). "A Note on Listwise Deletion versus Multiple Imputation". Political Analysis. 26 (4). Cambridge University Press (CUP): 480–488. doi:10.1017/pan.2018.18. ISSN 1047-1987.
Azur, Melissa J.; Stuart, Elizabeth A.; Frangakis, Constantine; Leaf, Philip J. (2011-03-01). "Multiple imputation by chained equations: what is it and how does it work?". International Journal of Methods in Psychiatric Research. 20 (1): 40–49. doi:10.1002/mpr.329. ISSN 1557-0657. PMC 3074241. PMID 21499542.
Graham, John W. (2009-01-01). "Missing data analysis: making it work in the real world". Annual Review of Psychology. 60: 549–576. doi:10.1146/annurev.psych.58.110405.085530. ISSN 0066-4308. PMID 18652544.
Horton, Nicholas J.; Kleinman, Ken P. (2007-02-01). "Much ado about nothing: A comparison of missing data methods and software to fit incomplete data regression models". The American Statistician. 61 (1): 79–90. doi:10.1198/000313007X172556. ISSN 0003-1305. PMC 1839993. PMID 17401454.