Semiparametric Regression Models with Missing Data: the Mathematics in the Work of Robins et al.
This review is an attempt to understand the landmark papers of Robins, Rotnitzky, and Zhao (1994) and Robins and Rotnitzky (1992). We revisit their main results and corresponding proofs using the theory outlined in the monograph by Bickel, Klaassen, Ritov, and Wellner (1993). We also discuss an illustrative example to show the details of applying these theoretical results.
Design of Experiments and Sample Surveys | Statistical Methodology | Statistical Models | Statistical Theory
Yu, Menggang and Nan, Bin, "Semiparametric Regression Models with Missing Data: the Mathematics in the Work of Robins et al." (May 2003). The University of Michigan Department of Biostatistics Working Paper Series. Working Paper 17.
Design of Experiments and Sample Surveys Commons, Statistical Methodology Commons, Statistical Models Commons, Statistical Theory Commons