The role of proxy information in missing data analysis

Rong Huang, Yuanyuan Liang, K. C. Carrière

Research output: Contribution to journalReview articlepeer-review

5 Scopus citations


This article investigates the role of proxy data in dealing with the common problem of missing data in clinical trials using repeated measures designs. In an effort to avoid the missing data situation, some proxy information can be gathered. The question is how to treat proxy information, that is, is it always better to utilize proxy information when there are missing data? A model for repeated measures data with missing values is considered and a strategy for utilizing proxy information is developed. Then, simulations are used to compare the power of a test using proxy to simply utilizing all available data. It is concluded that using proxy information can be a useful alternative when such information is available. The implications for various clinical designs are also considered and a data collection strategy for efficiently estimating parameters is suggested.

Original languageEnglish (US)
Pages (from-to)457-471
Number of pages15
JournalStatistical Methods in Medical Research
Issue number5
StatePublished - Oct 2005
Externally publishedYes

ASJC Scopus subject areas

  • Epidemiology
  • Statistics and Probability
  • Health Information Management


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