title: Semiparametric inference of proportional odds model based on randomly truncated data.
abstract: This paper studies the estimation in the proportional odds model based on randomly truncated data. The proposed estimators for the regression coefficients include a class of minimum distance estimators defined through weighted empirical odds function. We have investigated the asymptotic properties like the consistency and the limiting distribution of the proposed estimators under mild conditions. The finite sample properties were investigated through simulation study making comparison of some of the estimators in the class. We conclude with an illustration of our proposed method to a well-known AIDS data.
authors: Biometry and Mathematical Statistics Branch, Division of Epidemiology, Statistics and Prevention Research, National Institute of Child Health and Human Development, NIH, DHHS, 6100 Executive Boulevard, Rockville, MD 20878, USA.
authors: Rajeshwari
authors: R
authors: Sundaram