Empirical Likelihood in Missing Data Problems

• المؤلفون الرئيسيون: QIN, Jing, ZHANG, Biao, LEUNG, Denis H. Y.
• التنسيق: text
• اللغة: English
• منشور في: Institutional Knowledge at Singapore Management University 2009
• الموضوعات: Empirical likelihood; Estimating functions; Missing data; Surrogate end point.; Econometrics
• الوصول للمادة أونلاين: https://ink.library.smu.edu.sg/soe_research/160; https://ink.library.smu.edu.sg/context/soe_research/article/1159/viewcontent/Empirical_Likelihood_Missing_Data_2009.pdf
• المؤسسة: Singapore Management University

Missing data is a ubiquitous problem in medical and social sciences. It is well known that inferences based only on the complete data may not only lose efficiency, but may also lead to biased results if the data is not missing completely at random (MCAR). The inverse-probability weighting method pro...