Significance testing when using multiple imputation for missing data and disclosure limitation

Satkartar Kinney; J. Reiter

RTI uses cookies to offer you the best experience online. By and clicking “accept” on this website, you opt in and you agree to the use of cookies. If you would like to know more about how RTI uses cookies and how to manage them please view our Privacy Policy here. You can “opt out” or change your mind by visiting: http://optout.aboutads.info/. Click “accept” to agree.

Significance testing when using multiple imputation for missing data and disclosure limitation

Kinney, S., & Reiter, J. (2009). Significance testing when using multiple imputation for missing data and disclosure limitation. Journal of Official Statistics, 26(2), 301 - 315.

Copy citation

Recent Publications

Article

Use of a web-based portal to return normal individual research results in Early Check

Article

Personal exposure to PM2.5 in different microenvironments and activities for retired adults in two megacities, China

Article

Estimating global artisanal fishing fleet responses in an era of rapid climate and economic change

Article

Significance testing when using multiple imputation for missing data and disclosure limitation

Publications Info

Recent Publications

Use of a web-based portal to return normal individual research results in Early Check

Personal exposure to PM2.5 in different microenvironments and activities for retired adults in two megacities, China

Estimating global artisanal fishing fleet responses in an era of rapid climate and economic change

Estimating phylogenies from genomes

Partner With Us

Site