Multiply Robust Estimation in Regression Analysis With Missing Data
Article Properties
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LanguageEnglish
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DOI (url)
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Publication Date2014/07/03
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Indian UGC (journal)
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Refrences53
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Citations81
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Peisong Han
Cite
Han, Peisong. “Multiply Robust Estimation in Regression Analysis With Missing Data”. Journal of the American Statistical Association, vol. 109, no. 507, 2014, pp. 1159-73, https://doi.org/10.1080/01621459.2014.880058.
Han, P. (2014). Multiply Robust Estimation in Regression Analysis With Missing Data. Journal of the American Statistical Association, 109(507), 1159-1173. https://doi.org/10.1080/01621459.2014.880058
Han, Peisong. “Multiply Robust Estimation in Regression Analysis With Missing Data”. Journal of the American Statistical Association 109, no. 507 (2014): 1159-73. https://doi.org/10.1080/01621459.2014.880058.
Han P. Multiply Robust Estimation in Regression Analysis With Missing Data. Journal of the American Statistical Association. 2014;109(507):1159-73.
Journal Categories
Science
Mathematics
Science
Mathematics
Probabilities
Mathematical statistics
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Refrences
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
| Title | 2006 | |||
| Semiparametric Theory and Missing Data | 2006 | |||
| Empirical Model-Building and Response Surfaces | 1987 | |||
| 10.1201/9781420011579.ch20 | ||||
Improving Efficiency of Inferences in Randomized Clinical Trials Using Auxiliary Covariates | Biometrics |
| 141 | 2008 |
Citations
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
Multiply robust generalized estimating equations for cluster randomized trials with missing outcomes | Statistics in Medicine |
| 2024 | |
| Calibrated regression estimation using empirical likelihood under data fusion | Computational Statistics & Data Analysis |
| 2024 | |
A calibration method to stabilize estimation with missing data | Canadian Journal of Statistics |
| 2023 | |
Efficient multiply robust imputation in the presence of influential units in surveys | Canadian Journal of Statistics |
| 2023 | |
Robust causal inference of drug‐drug interactions | Statistics in Medicine |
| 1 | 2023 |
Citations Analysis
The category
Science: Mathematics: Probabilities. Mathematical statistics 73
is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Combining Inverse Probability Weighting and Multiple Imputation to Improve Robustness of Estimation and was published in 2015. The most recent citation comes from a 2024 study titled Multiply robust generalized estimating equations for cluster randomized trials with missing outcomes. This article reached its peak citation in 2022, with 16 citations. It has been cited in 40 different journals, 5% of which are open access. Among related journals, the Computational Statistics & Data Analysis cited this research the most, with 7 citations. The chart below illustrates the annual citation trends for this article.