This paper considers the problem of parameter estimation in a general class of semiparametric models when observations are subject to missingness at random. The semiparametric models allow for estimating functions that are non-smooth with respect to the parameter. We propose a nonparametric...

In this dissertation, the generalized score tests based on weighted estimating equationsare proposed for missing covariate data. Their properties, including the effectsof nuisance functions on the forms of the test statistics and efficiency of the tests,are investigated. Different versions of...

This paper considers the problem of parameter estimation in a general class of semiparametric models when observations are subject to missingness at random. The semiparametric models allow for estimating functions that are non-smooth with respect to the parameter. We propose a nonparametric...