MissingData

Missing Data

Missingdata.org.uk http://missingdata.lshtm.ac.uk/ The site says "This site exists: to support researchers from the social and medical sciences with the analysis of incomplete datasets, and as a focus of statistical research." In particular, see "Introduction to missing data"

Richard Williams, Notre Dame, grad class on statistics http://www3.nd.edu/~rwilliam/stats2/index.html Spring 2015, see the handout "Missing Data Part 1: Overview, Traditional Methods"

Dealing with missing data: Key assumptions and methods for applied analysis. Marina Soley-Bori. May 2013 http://www.bu.edu/sph/files/2014/05/Marina-tech-report.pdf Technical Report No. 4 May 6, 2013. "This tech report presents the basic concepts and methods used to deal with missing data. After explaining the missing data mechanisms and the patterns of missingness, the main conventional methodologies are reviewed, including Listwise deletion, Imputation methods, Multiple Imputation, Maximum Likelihood and Bayesian methods."

Nonresponse in Social Science Surveys: A Research Agenda http://www.nap.edu/catalog.php?record_id=18293 Feb 15, 2013. Authors: Panel on a Research Agenda for the Future of Social Science Data Collection; Committee on National Statistics; Division on Behavioral and Social Sciences and Education; National Research Council. This review addresses the core issues regarding survey nonresponse. It considers why response rates are declining and what that means for the accuracy of survey results.

Journal of Official Statistics, http://www.jos.nu/Contents/issue.asp?vol=27&no=2 June 2011, special issue on non response.

Public Opinion Quarterly. http://poq.oxfordjournals.org/content/74/5.toc Special 2010 issue on total survey error. How to address missing, non response, measurement error, etc.

Prevention and Treatment of Item Nonresponse http://www.jos.nu/Articles/abstract.asp?article=192153 from 2003, Journal of Official Statistics. Edith D. de Leeuw, Joop Hox, and Mark Huisman. "we present a typology of missing data patterns and their origins. Based on this typology and the potential sources of item nonresponse, we outline how missing data can be prevented as much as possible. Finally, we discuss how knowledge of the data collection process can improve the statistical treatment of the remaining missing data."

Andridge RR, Little RJ. A Review of Hot Deck Imputation for Survey Non-response. Int Stat Rev. 2010 Apr;78(1):40-64. http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3130338/

Survey sampling topics http://www.restore.ac.uk/PEAS/theory.php has a section about Non response adjustments by weighting and another section about imputation. These are introductory stuff, easy to read, good.

Machelle D. Wilson and Kerstin Lueck http://www.hindawi.com/journals/jam/2014/368791/ Working with Missing Data: Imputation of Nonresponse Items in Categorical Survey Data with a Non-Monotone Missing Pattern. Journal of Applied Mathematics. Volume 2014. This article also includes a couple of sections that are overviews of missing data.

Technical Methods Report: What to Do When Data Are Missing in Group Randomized Controlled Trials. http://ies.ed.gov/ncee/pubs/20090049/index.asp October 2009. National Center for Education Evaluation and Regional Assistance

Statistical Computing Seminars, Missing Data Techniques in Stata Part 1 http://www.ats.ucla.edu/stat/stata/seminars/missing_data/Multiple_imputation/mi_in_stata_pt1_new.htm

Statistical Computing Seminars, Missing Data in SAS Part 1 (using 9.4) http://www.ats.ucla.edu/stat/sas/seminars/missing_data/mi_new_1.htm

7 Ways to Handle Missing Data http://www.measuringu.com/blog/handle-missing-data.php Jeff Sauro, June 2015

The Prevention and Treatment of Missing Data in Clinical Trials http://www.nejm.org/doi/full/10.1056/NEJMsr1203730 Little et al, N Engl J Med 2012; 367:1355-1360October 4, 2012

Missing data: what are you missing? http://www.saem.org/docs/default-source/saem-documents/research/missing_data_what_are_you_missing_newgard_2006.pdf Craig D. Newgard, Jason S. Haukoos, Roger J. Lewis, Society for Academic Emergency Medicine Annual Meeting, San Francisco, CA, May 2006. Nice overview.

A Review of Missing Data Handling Methods in Education Research http://journals.sagepub.com/doi/full/10.3102/0034654314532697 Jehanzeb R. Cheema. Review of Educational Research. Vol 84, Issue 4, 2014. This study reviews the current literature on missing data handling methods

Some General Guidelines for Choosing Missing Data Handling Methods in Educational Research http://digitalcommons.wayne.edu/jmasm/vol13/iss2/3/ Cheema, Jehanzeb R. 2014. Journal of Modern Applied Statistical Methods: Vol. 13: Iss. 2, Article 3.

Multiple Imputation

Richard Williams, Notre Dame, grad class on statistics http://www3.nd.edu/~rwilliam/stats2/index.html Spring 2015, see the handout "Missing Data Part 2: Multiple Imputation"

Multiple Imputation in Stata: Introduction http://www.ssc.wisc.edu/sscc/pubs/stata_mi_intro.htm Some of the intro material is general

The rise of multiple imputation: a review of the reporting and implementation of the method in medical research. Panteha Hayati Rezvan, Katherine J Lee, and Julie A Simpson

BMC Med Res Methodol. 2015; 15: 30. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4396150/

Multiple Imputation using chained equations: Issues and guidance for practice. Statistics in Medicine, November 2010. Ian White, Patrick Royston, Angela Wood.

http://onlinelibrary.wiley.com/doi/10.1002/sim.4067/abstract abstract only. Can't see the full article for free.

Multiple Imputation of Multilevel Missing Data. An Introduction to the R Package pan. Simon Grund, Oliver Lüdtke, Alexander Robitzsch. Sage Open. DOI: 10.1177/2158244016668220 Published 23 October 2016 http://sgo.sagepub.com/content/6/4/2158244016668220

last updated and verified 5/4/17