A generalized inverse censoring weighted survival function estimator
نویسندگان
چکیده
We investigate an inverse censoring weighted estimator of a survival function when the data are doubly censored but the left censoring is always observed. The estimator reduces to its right censored version when there is no left censoring.
منابع مشابه
An augmented inverse probability weighted survival function estimator
We analyze an augmented inverse probability of non-missingness weighted estimator of a survival function for a missing censoring indicator model, in the absence and presence of left truncation. The estimator improves upon its precursor but is still not the best in terms of achieving minimal asymptotic variance.
متن کاملSemiparametric Models for Left Truncation and Right Censoring with Missing Censoring Indicators
We derive the asymptotic distributions of a semiparametric Dikta-type estimator and an inverse probability weighted type estimator of a survival function for a missing censoring indicator left truncated model and provide a theoretical comparison study.
متن کاملMedian regression using inverse censoring weights
We implement semiparametric random censorship model aided inference for censored median regression models. This is based on the idea that, when the censoring is specified by a common distribution, a semiparametric survival function estimator acts as an improved weight in the so-called inverse censoring weighted estimating function. We show that the proposed method will always produce estimates ...
متن کاملStatistical Inference for Costs and Incremental Cost - Effectiveness Ratios with Censored Data
Statistical Inference for Costs and Incremental Cost-Effectiveness Ratios with Censored Data. (May 2012) Shuai Chen, B.S., Peking University Co–Chairs of Advisory Committee: Dr. Hongwei Zhao Dr. Lan Zhou Cost-effectiveness analysis is widely conducted in the economic evaluation of new treatment options. In many clinical and observational studies of costs, data are often censored. Censoring brin...
متن کاملGeneralized Redistribute-to-the-Right Algorithm: Application to the Analysis of Censored Cost Data.
Medical cost estimation is a challenging task when censoring of data is present. Although researchers have proposed methods for estimating mean costs, these are often derived from theory and are not always easy to understand. We provide an alternative method, based on a replace-from-the-right algorithm, for estimating mean costs more efficiently. We show that our estimator is equivalent to an e...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2008