The importance of modeling the sampling design in multiple imputation for missing data
Publication
, Journal Article
Reiter, JP; Raghunathan, TE; Kinney, SK
Published in: Survey Methodology
2006
Duke Scholars
Published In
Survey Methodology
Publication Date
2006
Volume
32
Issue
2
Start / End Page
143 / 150
Related Subject Headings
- Statistics & Probability
- 0104 Statistics
Citation
APA
Chicago
ICMJE
MLA
NLM
Reiter, J. P., Raghunathan, T. E., & Kinney, S. K. (2006). The importance of modeling the sampling design in multiple imputation for missing data. Survey Methodology, 32(2), 143–150.
Reiter, J. P., T. E. Raghunathan, and S. K. Kinney. “The importance of modeling the sampling design in multiple imputation for missing data.” Survey Methodology 32, no. 2 (2006): 143–50.
Reiter JP, Raghunathan TE, Kinney SK. The importance of modeling the sampling design in multiple imputation for missing data. Survey Methodology. 2006;32(2):143–50.
Reiter, J. P., et al. “The importance of modeling the sampling design in multiple imputation for missing data.” Survey Methodology, vol. 32, no. 2, 2006, pp. 143–50.
Reiter JP, Raghunathan TE, Kinney SK. The importance of modeling the sampling design in multiple imputation for missing data. Survey Methodology. 2006;32(2):143–150.
Published In
Survey Methodology
Publication Date
2006
Volume
32
Issue
2
Start / End Page
143 / 150
Related Subject Headings
- Statistics & Probability
- 0104 Statistics