Missing data (English Wikipedia)

Analysis of information sources in references of the Wikipedia article "Missing data" in English language version.

refsWebsite

Global rank English rank

13doi.org

2^nd place

6semanticscholar.org

11^th place

8^th place

6nih.gov

4^th place

4arxiv.org

69^th place

59^th place

4worldcat.org

5^th place

3web.archive.org

1^st place

2harvard.edu

18^th place

17^th place

1escholarship.org

1,523^rd place

976^th place

1onbiostatistics.blogspot.com

low place

1lshtm.ac.uk

low place

1nature.com

234^th place

397^th place

1psu.edu

207^th place

136^th place

1handle.net

102^nd place

76^th place

1nips.cc

low place

7,050^th place

1acm.org

1,185^th place

840^th place

1ucla.edu

782^nd place

585^th place

1researchgate.net

120^th place

125^th place

acm.org

dl.acm.org

Chechik, Gal; Heitz, Geremy; Elidan, Gal; Abbeel, Pieter; Koller, Daphne (2008-06-01). "Max-margin Classification of Data with Absent Features". The Journal of Machine Learning Research. 9: 1–21. ISSN 1532-4435.

arxiv.org

Karvanen, Juha (2015). "Study design in causal models". Scandinavian Journal of Statistics. 42 (2): 361–377. arXiv:1211.2958. doi:10.1111/sjos.12110. S2CID 53642701.
Mitra, Robin; McGough, Sarah F.; Chakraborti, Tapabrata; Holmes, Chris; Copping, Ryan; Hagenbuch, Niels; Biedermann, Stefanie; Noonan, Jack; Lehmann, Brieuc; Shenvi, Aditi; Doan, Xuan Vinh; Leslie, David; Bianconi, Ginestra; Sanchez-Garcia, Ruben; Davies, Alisha (2023-01-25). "Learning from data with structured missingness". Nature Machine Intelligence. 5 (1): 13–23. arXiv:2304.01429. doi:10.1038/s42256-022-00596-z. ISSN 2522-5839.
Jackson, James; Mitra, Robin; Hagenbuch, Niels; McGough, Sarah; Harbron, Chris (2023-07-05), A Complete Characterisation of Structured Missingness, arXiv:2307.02650
Mirkes, E.M.; Coats, T.J.; Levesley, J.; Gorban, A.N. (2016). "Handling missing data in large healthcare dataset: A case study of unknown trauma outcomes". Computers in Biology and Medicine. 75: 203–216. arXiv:1604.00627. Bibcode:2016arXiv160400627M. doi:10.1016/j.compbiomed.2016.06.004. PMID 27318570. S2CID 5874067. Archived from the original on 2016-08-05.

doi.org

Messner SF (1992). "Exploring the Consequences of Erratic Data Reporting for Cross-National Research on Homicide". Journal of Quantitative Criminology. 8 (2): 155–173. doi:10.1007/bf01066742. S2CID 133325281.
Karvanen, Juha (2015). "Study design in causal models". Scandinavian Journal of Statistics. 42 (2): 361–377. arXiv:1211.2958. doi:10.1111/sjos.12110. S2CID 53642701.
Samuelson, Douglas A.; Spirer, Herbert F. (1992-12-31), "Chapter 3. Use of Incomplete and Distorted Data in Inference About Human Rights Violations", Human Rights and Statistics, University of Pennsylvania Press, pp. 62–78, doi:10.9783/9781512802863-006, ISBN 9781512802863, retrieved 2022-08-18
Mitra, Robin; McGough, Sarah F.; Chakraborti, Tapabrata; Holmes, Chris; Copping, Ryan; Hagenbuch, Niels; Biedermann, Stefanie; Noonan, Jack; Lehmann, Brieuc; Shenvi, Aditi; Doan, Xuan Vinh; Leslie, David; Bianconi, Ginestra; Sanchez-Garcia, Ruben; Davies, Alisha (2023-01-25). "Learning from data with structured missingness". Nature Machine Intelligence. 5 (1): 13–23. arXiv:2304.01429. doi:10.1038/s42256-022-00596-z. ISSN 2522-5839.
Li, Tianjing; Hutfless, Susan; Scharfstein, Daniel O.; Daniels, Michael J.; Hogan, Joseph W.; Little, Roderick J.A.; Roy, Jason A.; Law, Andrew H.; Dickersin, Kay (2014). "Standards should be applied in the prevention and handling of missing data for patient-centered outcomes research: a systematic review and expert consensus". Journal of Clinical Epidemiology. 67 (1): 15–32. doi:10.1016/j.jclinepi.2013.08.013. PMC 4631258. PMID 24262770.
Graham J.W.; Olchowski A.E.; Gilreath T.D. (2007). "How Many Imputations Are Really Needed? Some Practical Clarifications of Multiple Imputation Theory". Preventative Science. 8 (3): 208–213. CiteSeerX 10.1.1.595.7125. doi:10.1007/s11121-007-0070-9. PMID 17549635. S2CID 24566076.
van Ginkel, Joost R.; Linting, Marielle; Rippe, Ralph C. A.; van der Voort, Anja (2020-05-03). "Rebutting Existing Misconceptions About Multiple Imputation as a Method for Handling Missing Data". Journal of Personality Assessment. 102 (3): 297–308. doi:10.1080/00223891.2018.1530680. hdl:1887/138825. ISSN 0022-3891. PMID 30657714. S2CID 58580667.
Woods, Adrienne D.; Gerasimova, Daria; Van Dusen, Ben; Nissen, Jayson; Bainter, Sierra; Uzdavines, Alex; Davis-Kean, Pamela E.; Halvorson, Max; King, Kevin M.; Logan, Jessica A. R.; Xu, Menglin; Vasilev, Martin R.; Clay, James M.; Moreau, David; Joyal-Desmarais, Keven (2023-02-23). "Best practices for addressing missing data through multiple imputation". Infant and Child Development. 33. doi:10.1002/icd.2407. ISSN 1522-7227.
Derrick, B; Russ, B; Toher, D; White, P (2017). "Test Statistics for the Comparison of Means for Two Samples That Include Both Paired and Independent Observations". Journal of Modern Applied Statistical Methods. 16 (1): 137–157. doi:10.22237/jmasm/1493597280.
Tamer, Elie (2010). "Partial Identification in Econometrics" (PDF). Annual Review of Economics. 2 (1): 167–195. doi:10.1146/annurev.economics.050708.143401.
Potthoff, R.F.; Tudor, G.E.; Pieper, K.S.; Hasselblad, V. (2006). "Can one assess whether missing data are missing at random in medical studies?". Statistical Methods in Medical Research. 15 (3): 213–234. doi:10.1191/0962280206sm448oa. PMID 16768297. S2CID 12882831.
Mirkes, E.M.; Coats, T.J.; Levesley, J.; Gorban, A.N. (2016). "Handling missing data in large healthcare dataset: A case study of unknown trauma outcomes". Computers in Biology and Medicine. 75: 203–216. arXiv:1604.00627. Bibcode:2016arXiv160400627M. doi:10.1016/j.compbiomed.2016.06.004. PMID 27318570. S2CID 5874067. Archived from the original on 2016-08-05.

dx.doi.org

Samuelson, Douglas A.; Spirer, Herbert F. (1992-12-31), "Chapter 3. Use of Incomplete and Distorted Data in Inference About Human Rights Violations", Human Rights and Statistics, University of Pennsylvania Press, pp. 62–78, doi:10.9783/9781512802863-006, ISBN 9781512802863, retrieved 2022-08-18

escholarship.org

Mohan, Karthika; Pearl, Judea; Tian, Jin (2013). "Graphical Models for Inference with Missing Data". Advances in Neural Information Processing Systems 26. pp. 1277–1285.

handle.net

hdl.handle.net

van Ginkel, Joost R.; Linting, Marielle; Rippe, Ralph C. A.; van der Voort, Anja (2020-05-03). "Rebutting Existing Misconceptions About Multiple Imputation as a Method for Handling Missing Data". Journal of Personality Assessment. 102 (3): 297–308. doi:10.1080/00223891.2018.1530680. hdl:1887/138825. ISSN 0022-3891. PMID 30657714. S2CID 58580667.

harvard.edu

scholar.harvard.edu

Tamer, Elie (2010). "Partial Identification in Econometrics" (PDF). Annual Review of Economics. 2 (1): 167–195. doi:10.1146/annurev.economics.050708.143401.

ui.adsabs.harvard.edu

Mirkes, E.M.; Coats, T.J.; Levesley, J.; Gorban, A.N. (2016). "Handling missing data in large healthcare dataset: A case study of unknown trauma outcomes". Computers in Biology and Medicine. 75: 203–216. arXiv:1604.00627. Bibcode:2016arXiv160400627M. doi:10.1016/j.compbiomed.2016.06.004. PMID 27318570. S2CID 5874067. Archived from the original on 2016-08-05.

lshtm.ac.uk

missingdata.lshtm.ac.uk

"Home". Archived from the original on 2015-09-10. Retrieved 2015-08-01.

nature.com

Mitra, Robin; McGough, Sarah F.; Chakraborti, Tapabrata; Holmes, Chris; Copping, Ryan; Hagenbuch, Niels; Biedermann, Stefanie; Noonan, Jack; Lehmann, Brieuc; Shenvi, Aditi; Doan, Xuan Vinh; Leslie, David; Bianconi, Ginestra; Sanchez-Garcia, Ruben; Davies, Alisha (2023-01-25). "Learning from data with structured missingness". Nature Machine Intelligence. 5 (1): 13–23. arXiv:2304.01429. doi:10.1038/s42256-022-00596-z. ISSN 2522-5839.

nih.gov

pubmed.ncbi.nlm.nih.gov

Li, Tianjing; Hutfless, Susan; Scharfstein, Daniel O.; Daniels, Michael J.; Hogan, Joseph W.; Little, Roderick J.A.; Roy, Jason A.; Law, Andrew H.; Dickersin, Kay (2014). "Standards should be applied in the prevention and handling of missing data for patient-centered outcomes research: a systematic review and expert consensus". Journal of Clinical Epidemiology. 67 (1): 15–32. doi:10.1016/j.jclinepi.2013.08.013. PMC 4631258. PMID 24262770.
Graham J.W.; Olchowski A.E.; Gilreath T.D. (2007). "How Many Imputations Are Really Needed? Some Practical Clarifications of Multiple Imputation Theory". Preventative Science. 8 (3): 208–213. CiteSeerX 10.1.1.595.7125. doi:10.1007/s11121-007-0070-9. PMID 17549635. S2CID 24566076.
van Ginkel, Joost R.; Linting, Marielle; Rippe, Ralph C. A.; van der Voort, Anja (2020-05-03). "Rebutting Existing Misconceptions About Multiple Imputation as a Method for Handling Missing Data". Journal of Personality Assessment. 102 (3): 297–308. doi:10.1080/00223891.2018.1530680. hdl:1887/138825. ISSN 0022-3891. PMID 30657714. S2CID 58580667.
Potthoff, R.F.; Tudor, G.E.; Pieper, K.S.; Hasselblad, V. (2006). "Can one assess whether missing data are missing at random in medical studies?". Statistical Methods in Medical Research. 15 (3): 213–234. doi:10.1191/0962280206sm448oa. PMID 16768297. S2CID 12882831.
Mirkes, E.M.; Coats, T.J.; Levesley, J.; Gorban, A.N. (2016). "Handling missing data in large healthcare dataset: A case study of unknown trauma outcomes". Computers in Biology and Medicine. 75: 203–216. arXiv:1604.00627. Bibcode:2016arXiv160400627M. doi:10.1016/j.compbiomed.2016.06.004. PMID 27318570. S2CID 5874067. Archived from the original on 2016-08-05.

ncbi.nlm.nih.gov

Li, Tianjing; Hutfless, Susan; Scharfstein, Daniel O.; Daniels, Michael J.; Hogan, Joseph W.; Little, Roderick J.A.; Roy, Jason A.; Law, Andrew H.; Dickersin, Kay (2014). "Standards should be applied in the prevention and handling of missing data for patient-centered outcomes research: a systematic review and expert consensus". Journal of Clinical Epidemiology. 67 (1): 15–32. doi:10.1016/j.jclinepi.2013.08.013. PMC 4631258. PMID 24262770.

nips.cc

papers.nips.cc

Chechik, Gal; Heitz, Geremy; Elidan, Gal; Abbeel, Pieter; Koller, Daphne (2008-06-01). "Max-margin Classification of incomplete data" (PDF). Neural Information Processing Systems: 233–240.

onbiostatistics.blogspot.com

Deng (2012-10-05). "On Biostatistics and Clinical Trials". Archived from the original on 15 March 2016. Retrieved 13 May 2016.

psu.edu

citeseerx.ist.psu.edu

Graham J.W.; Olchowski A.E.; Gilreath T.D. (2007). "How Many Imputations Are Really Needed? Some Practical Clarifications of Multiple Imputation Theory". Preventative Science. 8 (3): 208–213. CiteSeerX 10.1.1.595.7125. doi:10.1007/s11121-007-0070-9. PMID 17549635. S2CID 24566076.

researchgate.net

Mirkes, E.M.; Coats, T.J.; Levesley, J.; Gorban, A.N. (2016). "Handling missing data in large healthcare dataset: A case study of unknown trauma outcomes". Computers in Biology and Medicine. 75: 203–216. arXiv:1604.00627. Bibcode:2016arXiv160400627M. doi:10.1016/j.compbiomed.2016.06.004. PMID 27318570. S2CID 5874067. Archived from the original on 2016-08-05.

semanticscholar.org

api.semanticscholar.org

Messner SF (1992). "Exploring the Consequences of Erratic Data Reporting for Cross-National Research on Homicide". Journal of Quantitative Criminology. 8 (2): 155–173. doi:10.1007/bf01066742. S2CID 133325281.
Karvanen, Juha (2015). "Study design in causal models". Scandinavian Journal of Statistics. 42 (2): 361–377. arXiv:1211.2958. doi:10.1111/sjos.12110. S2CID 53642701.
Graham J.W.; Olchowski A.E.; Gilreath T.D. (2007). "How Many Imputations Are Really Needed? Some Practical Clarifications of Multiple Imputation Theory". Preventative Science. 8 (3): 208–213. CiteSeerX 10.1.1.595.7125. doi:10.1007/s11121-007-0070-9. PMID 17549635. S2CID 24566076.
van Ginkel, Joost R.; Linting, Marielle; Rippe, Ralph C. A.; van der Voort, Anja (2020-05-03). "Rebutting Existing Misconceptions About Multiple Imputation as a Method for Handling Missing Data". Journal of Personality Assessment. 102 (3): 297–308. doi:10.1080/00223891.2018.1530680. hdl:1887/138825. ISSN 0022-3891. PMID 30657714. S2CID 58580667.
Potthoff, R.F.; Tudor, G.E.; Pieper, K.S.; Hasselblad, V. (2006). "Can one assess whether missing data are missing at random in medical studies?". Statistical Methods in Medical Research. 15 (3): 213–234. doi:10.1191/0962280206sm448oa. PMID 16768297. S2CID 12882831.
Mirkes, E.M.; Coats, T.J.; Levesley, J.; Gorban, A.N. (2016). "Handling missing data in large healthcare dataset: A case study of unknown trauma outcomes". Computers in Biology and Medicine. 75: 203–216. arXiv:1604.00627. Bibcode:2016arXiv160400627M. doi:10.1016/j.compbiomed.2016.06.004. PMID 27318570. S2CID 5874067. Archived from the original on 2016-08-05.

ucla.edu

ftp.cs.ucla.edu

Pearl, Judea; Mohan, Karthika (2013). Recoverability and Testability of Missing data: Introduction and Summary of Results (PDF) (Technical report). UCLA Computer Science Department, R-417.

web.archive.org

Deng (2012-10-05). "On Biostatistics and Clinical Trials". Archived from the original on 15 March 2016. Retrieved 13 May 2016.
"Home". Archived from the original on 2015-09-10. Retrieved 2015-08-01.
Mirkes, E.M.; Coats, T.J.; Levesley, J.; Gorban, A.N. (2016). "Handling missing data in large healthcare dataset: A case study of unknown trauma outcomes". Computers in Biology and Medicine. 75: 203–216. arXiv:1604.00627. Bibcode:2016arXiv160400627M. doi:10.1016/j.compbiomed.2016.06.004. PMID 27318570. S2CID 5874067. Archived from the original on 2016-08-05.

worldcat.org

search.worldcat.org

Mitra, Robin; McGough, Sarah F.; Chakraborti, Tapabrata; Holmes, Chris; Copping, Ryan; Hagenbuch, Niels; Biedermann, Stefanie; Noonan, Jack; Lehmann, Brieuc; Shenvi, Aditi; Doan, Xuan Vinh; Leslie, David; Bianconi, Ginestra; Sanchez-Garcia, Ruben; Davies, Alisha (2023-01-25). "Learning from data with structured missingness". Nature Machine Intelligence. 5 (1): 13–23. arXiv:2304.01429. doi:10.1038/s42256-022-00596-z. ISSN 2522-5839.
van Ginkel, Joost R.; Linting, Marielle; Rippe, Ralph C. A.; van der Voort, Anja (2020-05-03). "Rebutting Existing Misconceptions About Multiple Imputation as a Method for Handling Missing Data". Journal of Personality Assessment. 102 (3): 297–308. doi:10.1080/00223891.2018.1530680. hdl:1887/138825. ISSN 0022-3891. PMID 30657714. S2CID 58580667.
Woods, Adrienne D.; Gerasimova, Daria; Van Dusen, Ben; Nissen, Jayson; Bainter, Sierra; Uzdavines, Alex; Davis-Kean, Pamela E.; Halvorson, Max; King, Kevin M.; Logan, Jessica A. R.; Xu, Menglin; Vasilev, Martin R.; Clay, James M.; Moreau, David; Joyal-Desmarais, Keven (2023-02-23). "Best practices for addressing missing data through multiple imputation". Infant and Child Development. 33. doi:10.1002/icd.2407. ISSN 1522-7227.
Chechik, Gal; Heitz, Geremy; Elidan, Gal; Abbeel, Pieter; Koller, Daphne (2008-06-01). "Max-margin Classification of Data with Absent Features". The Journal of Machine Learning Research. 9: 1–21. ISSN 1532-4435.