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Cited by 463

The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.

Multiple Imputation by Fully Conditional Specification for Dealing with Missing Data in a Large Epidemiologic Study

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Liu, Yang, De, Anindya·2015·International Journal of Statistics in Medical Research
DOI 10.6000/1929-6029.2015.04.03.7
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Abstract

Missing data commonly occur in large epidemiologic studies. Ignoring incompleteness or handling the data inappropriately may bias study results, reduce power and efficiency, and alter important risk/benefit relationships. Standard ways of dealing with missing values, such as complete case analysis (CCA), are generally inappropriate due to the loss of precision and risk of bias. Multiple imputation by fully conditional specification (FCS MI) is a powerful and statistically valid method for creating imputations in large data sets which include both categorical and continuous variables. It specifies the multivariate imputation model on a variable-by-variable basis and offers a principled yet flexible method of addressing missing data, which is particularly useful for large data sets with complex data structures. However, FCS MI is still rarely used in epidemiology, and few practical resources exist to guide researchers in the implementation of this technique. We demonstrate the application of FCS MI in support of a large epidemiologic study evaluating national blood utilization patterns in a sub-Saharan African country. A number of practical tips and guidelines for implementing FCS MI based on this experience are described.

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Citations

Cites

Research works printed but not linked: 26

  1. He YL. Circ Cardiovasc Qual Outcomes 2010; 3: 98-105. http://dx.doi.org/10.1161/CIRCOUTCOMES.109.875658 · DOI · Paper page
  2. Pigott TD. Educ Res Eval 2001; 7(4): 353-83. http://dx.doi.org/10.1076/edre.7.4.353.8937 · DOI · Paper page
  3. Graham JW. Annu Rev Psychol 2009; 60: 549-76. http://dx.doi.org/10.1146/annurev.psych.58.110405.085530 · DOI · Paper page
  4. White IR, Carlin JB. Statist Med 2010; 29: 2920-31. http://dx.doi.org/10.1002/sim.3944 · DOI · Paper page
  5. Enders CK. Struct Equ Modelling 2001; 8: 128-41. http://dx.doi.org/10.1207/S15328007SEM0801_7 · DOI · Paper page
  6. Oba S, Sato M, Takemasa I, Monden M, Matsubara K, Ishii S. Bioinformatics 2003; 19: 2088-96. http://dx.doi.org/10.1093/bioinformatics/btg287 · DOI · Paper page
  7. Patrician PA. Res Nurs Health 2002; 25: 76-84. http://dx.doi.org/10.1002/nur.10015 · DOI
  8. Newgard CD, Haukoos JS. Acad Emerg Med 2007; 14: 669-78. · DOI
  9. Azur MJ, Stuart EA, Frangakis C, Leaf PJ. Int J Mehtods Psychiatr Rec 2011; 20: 40-9. http://dx.doi.org/10.1002/mpr.329 · DOI · Paper page
  10. Bernaards CA, Belin TR, Schafer JL. Statist Med 2007; 26: 1368-82. http://dx.doi.org/10.1002/sim.2619 · DOI
  11. Sterne JA, White IR, Carlin JB, Spratt M, Royston P, Kenward MG, Wood AM, Carpenter JR. BMJ 2009; 339: 157-60.
  12. Horton NJ, Kleinman KP. Am Stat 2007; 61: 79-90. http://dx.doi.org/10.1198/000313007X172556 · DOI · Paper page
  13. Lee KJ, Carlin JB. Am J Epidemiol 2010; 171: 624-32. http://dx.doi.org/10.1093/aje/kwp425 · DOI · Paper page
  14. Lee KJ, Carlin JB. Emerg Themes Epidemiol 2012; 9: 1-10. http://dx.doi.org/10.1186/1742-7622-9-3 · DOI
  15. Stuart EA, Azur M, Frangakis C, Leaf P. Am J Epidemiol 2009; 169:1133-9. http://dx.doi.org/10.1093/aje/kwp026 · DOI · Paper page
  16. He Y, Zaslavsky AM, Landrum MB, Harrington DP, Catalano P. Stat Methods Med Res 2010; 19: 653-70. http://dx.doi.org/10.1177/0962280208101273 · DOI
  17. Schenker N, Raghunathan TE, Chiu PL, Makuc DM, Zhang GY, Cohen AJ. J Amer Statist Assoc 2006; 101: 924-33. http://dx.doi.org/10.1198/016214505000001375 · DOI
  18. Meza BPL, Lohrke B, Wilkinson R, Pitman JP, Shiraishi RW, Lowrance DW, Kuehnert MJ, Mataranyika M, Basavaraju SV. Blood Transfus 2014; 12(3): 352-61.
  19. Pitman JP, Wilkinson R, Liu Y, Finckenstein B, Sibinga CS, Lowrance DW, Marfin AA, Postma M, Mataranyika M, Basavaraju SV. Transfus Med Rev 2015; 29: 45-51. http://dx.doi.org/10.1016/j.tmrv.2014.11.003 · DOI
  20. Carlin BP, Louis TA. Bayesian methods for data analysis, 3nd ed. New York, NY: Springer Verlag; 2008. · DOI · Paper page
  21. Glynn RJ, Laird NM, Rubin DB. J Amer Statist Assoc 1993; 88: 984-93. http://dx.doi.org/10.1080/01621459.1993.10476366 · DOI
  22. Abayomi K, Gelman A, Levy M. Appl Statist 2008; 57: 273-91. http://dx.doi.org/10.1111/j.1467-9876.2007.00613.x · DOI
  23. Bartlett JW, Seaman SR, White IR, Carpenter JR. Multiple imputation of covariates by fully conditional specification: Accommodating the substantive model. Stat Meth Med Res 2014. http://dx.doi.org/10.1177/0962280214521348 · DOI · Paper page
  24. Yucel RM. J STAT SOFTW 2011; 45: 1-7. · DOI
  25. Dziuraa JD, Posta LA, Zhao Q, Fu ZX, Peduzzi P. Yale J Biol Med 2013; 86: 343-58.
  26. Héraud-Bousquet V, Larsen C, Carpenter J, Desenclos JC, Strat YL. BMC Med Res Methodol 2012; 12: 1-11. http://dx.doi.org/10.1186/1471-2288-12-73 · DOI

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Metadata

Authors
Liu, Y., & De, A.
Venue
International Journal of Statistics in Medical Research
Publisher
Lifescience Global
Published
2015-08-19
Volume
4
Issue
3
Pages
287-295
ISSN
1929-6029 (ISSN-L)
DOI
10.6000/1929-6029.2015.04.03.7
OpenAlex
W1845661996
Cited by
463
References
6
FWCI
11.39
Type
journal article
Language
en
Open access
diamond
Licence
creativecommons.org/licenses/by-nc/4.0 (unspecified)

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