A Calibration Framework for Inference with Partially Observed Data

Mst Moushumi Pervin, Hengfang Wang, Jae Kwang Kim

Missing data is an universal problem in statistics. We develop a unified framework for estimating parameters defined by general estimating equations under a missing-at-random (MAR)…