An Expectation Maximization algorithm for fitting the generalized odds-rate model to interval censored data
نویسندگان
چکیده
منابع مشابه
Space-Alternating Generalized Expectation-Maximization Algorithm
The expectation-maximization (EM) method can facilitate maximizing likelihood functions that arise in statistical estimation problems. In the classical EM paradigm, one iteratively maximizes the conditional log-likelihood of a single unobservable complete data space, rather than maximizing the intractable likelihood function for the measured or incomplete data. EM algorithms update all paramete...
متن کاملSpace-alternating generalized expectation-maximization algorithm
The expectation-maximization (EM) method can facilitate maximizing likelihood functions that arise in statistical estimation problems. In the classical EM paradigm, one iteratively maximizes the conditional log-likelihood of a single unobservable complete data space, rather than maximizing the intractable likelihood function for the measured or incomplete data. EM algorithms update all paramete...
متن کاملRegression Model Fitting for the Interval Censored 1 Responses
In the interval censored case 1 data, an event occurrence time is unobservable, but one observes an inspection time and whether the event has occurred prior to this time or not. Such data is also known as the interval censored case 1 data. It is of interest to assess the effect of a covariate on the event occurrence time variable. This note constructs tests for fitting a class of parametric reg...
متن کاملA flexible, computationally efficient method for fitting the proportional hazards model to interval-censored data.
The proportional hazards model (PH) is currently the most popular regression model for analyzing time-to-event data. Despite its popularity, the analysis of interval-censored data under the PH model can be challenging using many available techniques. This article presents a new method for analyzing interval-censored data under the PH model. The proposed approach uses a monotone spline represent...
متن کاملAn EM Algorithm for Estimating the Parameters of the Generalized Exponential Distribution under Unified Hybrid Censored Data
The unified hybrid censoring is a mixture of generalized Type-I and Type-II hybrid censoring schemes. This article presents the statistical inferences on Generalized Exponential Distribution parameters when the data are obtained from the unified hybrid censoring scheme. It is observed that the maximum likelihood estimators can not be derived in closed form. The EM algorithm for computing the ma...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Statistics in Medicine
سال: 2016
ISSN: 0277-6715
DOI: 10.1002/sim.7204