𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Combining Multiple Imputation and Inverse-Probability Weighting

✍ Scribed by Shaun R. Seaman; Ian R. White; Andrew J. Copas; Leah Li

Book ID
119856865
Publisher
John Wiley and Sons
Year
2011
Tongue
English
Weight
570 KB
Volume
68
Category
Article
ISSN
0006-341X

No coin nor oath required. For personal study only.

πŸ“œ SIMILAR VOLUMES

Sensitivity analysis for causal inferenc
Sensitivity analysis for causal inference using inverse probability weighting
✍ Changyu Shen; Xiaochun Li; Lingling Li; Martin C. Were πŸ“‚ Article πŸ“… 2011 πŸ› John Wiley and Sons 🌐 English βš– 340 KB πŸ‘ 1 views

## Abstract Evaluation of impact of potential uncontrolled confounding is an important component for causal inference based on observational studies. In this article, we introduce a general framework of sensitivity analysis that is based on inverse probability weighting. We propose a general method

THE RELATIONSHIP BETWEEN HOT-DECK MULTIP
THE RELATIONSHIP BETWEEN HOT-DECK MULTIPLE IMPUTATION AND WEIGHTED LIKELIHOOD
✍ MARIE REILLY; MARGARET PEPE πŸ“‚ Article πŸ“… 1997 πŸ› John Wiley and Sons 🌐 English βš– 331 KB πŸ‘ 2 views

Hot-deck imputation is an intuitively simple and popular method of accommodating incomplete data. Users of the method will often use the usual multiple imputation variance estimator which is not appropriate in this case. However, no variance expression has yet been derived for this easily implemente