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Items: 1 to 20 of 62

1.

State of the Multiple Imputation Software.

Yucel RM.

J Stat Softw. 2011 Dec;45(1). pii: v45/i01.

2.

Multiple imputation: review of theory, implementation and software.

Harel O, Zhou XH.

Stat Med. 2007 Jul 20;26(16):3057-77.

PMID:
17256804
3.

The multiple imputation method: a case study involving secondary data analysis.

Walani SR, Cleland CM.

Nurse Res. 2015 May;22(5):13-9. doi: 10.7748/nr.22.5.13.e1319.

PMID:
25976532
4.

Attrition in longitudinal studies. How to deal with missing data.

Twisk J, de Vente W.

J Clin Epidemiol. 2002 Apr;55(4):329-37.

PMID:
11927199
5.

Multiple imputation as a missing data machine.

Brand J, van Buuren S, van Mulligen EM, Timmers T, Gelsema E.

Proc Annu Symp Comput Appl Med Care. 1994:303-6.

6.

Multiple imputation by chained equations: what is it and how does it work?

Azur MJ, Stuart EA, Frangakis C, Leaf PJ.

Int J Methods Psychiatr Res. 2011 Mar;20(1):40-9. doi: 10.1002/mpr.329.

7.

Proceedings of the Second Workshop on Theory meets Industry (Erwin-Schrödinger-Institute (ESI), Vienna, Austria, 12-14 June 2007).

Hafner J.

J Phys Condens Matter. 2008 Feb 13;20(6):060301. doi: 10.1088/0953-8984/20/06/060301. Epub 2008 Jan 24.

PMID:
21693862
8.
9.

DNA microarray data imputation and significance analysis of differential expression.

Jörnsten R, Wang HY, Welsh WJ, Ouyang M.

Bioinformatics. 2005 Nov 15;21(22):4155-61. Epub 2005 Aug 23.

PMID:
16118262
10.

Approach to addressing missing data for electronic medical records and pharmacy claims data research.

Bounthavong M, Watanabe JH, Sullivan KM.

Pharmacotherapy. 2015 Apr;35(4):380-7. doi: 10.1002/phar.1569.

11.

Genotype imputation in genome-wide association studies.

Porcu E, Sanna S, Fuchsberger C, Fritsche LG.

Curr Protoc Hum Genet. 2013 Jul;Chapter 1:Unit 1.25. doi: 10.1002/0471142905.hg0125s78. Review.

PMID:
23853078
12.

The effect of reference panels and software tools on genotype imputation.

Nho K, Shen L, Kim S, Swaminathan S, Risacher SL, Saykin AJ; Alzheimer’s Disease Neuroimaging Initiative (ADNI).

AMIA Annu Symp Proc. 2011;2011:1013-8. Epub 2011 Oct 22.

13.

Genotype imputation for African Americans using data from HapMap phase II versus 1000 genomes projects.

Sung YJ, Gu CC, Tiwari HK, Arnett DK, Broeckel U, Rao DC.

Genet Epidemiol. 2012 Jul;36(5):508-16. doi: 10.1002/gepi.21647. Epub 2012 May 29.

14.

Advanced statistics: missing data in clinical research--part 2: multiple imputation.

Newgard CD, Haukoos JS.

Acad Emerg Med. 2007 Jul;14(7):669-78.

15.

Molgenis-impute: imputation pipeline in a box.

Kanterakis A, Deelen P, van Dijk F, Byelas H, Dijkstra M, Swertz MA.

BMC Res Notes. 2015 Aug 19;8:359. doi: 10.1186/s13104-015-1309-3.

16.

Tools for statistical analysis with missing data: application to a large medical database.

Preda C, Duhamel A, Picavet M, Kechadi T.

Stud Health Technol Inform. 2005;116:181-6.

PMID:
16160256
17.

Multiple imputation for non-response when estimating HIV prevalence using survey data.

Chinomona A, Mwambi H.

BMC Public Health. 2015 Oct 16;15:1059. doi: 10.1186/s12889-015-2390-1.

18.

Dealing with missing values in large-scale studies: microarray data imputation and beyond.

Aittokallio T.

Brief Bioinform. 2010 Mar;11(2):253-64. doi: 10.1093/bib/bbp059. Epub 2009 Dec 4. Review.

PMID:
19965979
19.

The rise of multiple imputation: a review of the reporting and implementation of the method in medical research.

Hayati Rezvan P, Lee KJ, Simpson JA.

BMC Med Res Methodol. 2015 Apr 7;15:30. doi: 10.1186/s12874-015-0022-1. Review.

20.

Multiple imputation inference for multivariate multilevel continuous data with ignorable non-response.

Yucel RM.

Philos Trans A Math Phys Eng Sci. 2008 Jul 13;366(1874):2389-403. doi: 10.1098/rsta.2008.0038.

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