A multiple imputation‐based sensitivity analysis approach for data subject to missing not at random
暂无分享,去创建一个
Wei Zhou | Chiu-Hsieh Hsu | Chengcheng Hu | Yulei He | Chiu-Hsieh Hsu | Chengcheng Hu | Yulei He | Wei Zhou
[1] Shihti Yu,et al. Collinearity and Two-Step Estimation of Sample Selection Models:Problems, Origins, and Remedies , 2000 .
[2] Qi Long,et al. Doubly Robust Nonparametric Multiple Imputation for Ignorable Missing Data. , 2012, Statistica Sinica.
[3] R. Little. Pattern-Mixture Models for Multivariate Incomplete Data , 1993 .
[4] Jeremy MG Taylor,et al. Partially parametric techniques for multiple imputation , 1996 .
[5] J. Heckman. Shadow prices, market wages, and labor supply , 1974 .
[6] J. Copas,et al. Inference for Non‐random Samples , 1997 .
[7] Roderick J. A. Little,et al. Statistical Analysis with Missing Data: Little/Statistical Analysis with Missing Data , 2002 .
[8] S. Jolani. Dual Imputation Strategies for Analyzing Incomplete Data , 2010 .
[9] Doubly robust multiple imputation using kernel‐based techniques , 2016, Biometrical journal. Biometrische Zeitschrift.
[10] Sylvie Chevret,et al. A multiple imputation approach for MNAR mechanisms compatible with Heckman's model , 2016, Statistics in medicine.
[11] Thomas R Belin,et al. Multiple imputation using an iterative hot‐deck with distance‐based donor selection , 2008, Statistics in medicine.
[12] Wei Zhou,et al. Prospective neurocognitive evaluation of patients undergoing carotid interventions. , 2012, Journal of vascular surgery.
[13] Donald B Rubin,et al. Sensitivity analysis for a partially missing binary outcome in a two‐arm randomized clinical trial , 2014, Statistics in medicine.
[14] Gary S Collins,et al. A robust imputation method for missing responses and covariates in sample selection models , 2019, Statistical methods in medical research.
[15] D. Rubin. Formalizing Subjective Notions about the Effect of Nonrespondents in Sample Surveys , 1977 .
[16] M Chavance,et al. Sensitivity analysis of incomplete longitudinal data departing from the missing at random assumption: Methodology and application in a clinical trial with drop-outs , 2016, Statistical methods in medical research.
[17] Xu Yan,et al. Missing Data Handling Methods in Medical Device Clinical Trials , 2009, Journal of biopharmaceutical statistics.
[18] J. Heckman. Sample selection bias as a specification error , 1979 .