A further study of the multiply robust estimator in missing data analysis

By Peisong Han. 2014

60 citations recorded by the source corpus.

Subfields: Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/346ed82e22b33e9cc459edfa8535b74a57344230

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Statistics and Probability

1. Peisong Han
2. Jerald F. Lawless
3. David Haziza
4. Sixia Chen

Citations in the corpus

• Multiply Robust Estimation in Regression Analysis With Missing Data (2014, methodology): “The development in this article is an extension of Han and Wang (2013) and Han (2014), who only considered the setting of estimating the population mean of a response variable with incomplete data.”
• Combining Inverse Probability Weighting and Multiple Imputation to Improve Robustness of Estimation (2016, methodology): “The numerical calculation of ǑLMR can be carried out by following the algorithm in Han (2014b).”