Maximum approximate Bernstein likelihood estimation in proportional hazard model for interval-censored data
From MaRDI portal
Publication:6627924
DOI10.1002/sim.8801zbMATH Open1546.62281MaRDI QIDQ6627924
Publication date: 29 October 2024
Published in: Statistics in Medicine (Search for Journal in Brave)
interval censoringdensity estimationapproximate likelihoodsurvival curveCox's proportional hazard regression modelBernstein polynomial modelmixture beta model
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- A study of interval censoring in parametric regression models
- Démonstration du théorème de \textit{Weierstraß}, fondée sur le calcul des probabilités.
- Strong laws of large numbers for arrays of row-wise independent random variables
- The degree of approximation by polynomials with positive coefficients
- A flexible, computationally efficient method for fitting the proportional hazards model to interval-censored data
- Efficient and robust density estimation using Bernstein type polynomials
- Local likelihood density estimation for interval censored data
- Two-sample Hypothesis Testing under Lehmann Alternatives and Polya Tree Priors
- Remarks on Some Nonparametric Estimates of a Density Function
- Estimation of Distribution Density Belonging to a Class of Entire Functions
- A Semiparametric Model for Regression Analysis of Interval-Censored Failure Time Data
- Distribution-Free Regression Analysis of Grouped Survival Data
- The Numerical Evaluation of the Maximum-Likelihood Estimate of a Subset of Mixture Proportions
- Regression Analysis of Grouped Survival Data with Application to Breast Cancer Data
- Maximum likelihood for interval censored data: Consistency and computation
- A Hybrid Algorithm for Computation of the Nonparametric Maximum Likelihood Estimator From Censored Data
- Hazard Regression with Interval-Censored Data
- Bernstein polynomial model for grouped continuous data
- Bernstein polynomial model for nonparametric multivariate density
- Most Likely Transformations
- Local EM Estimation of the Hazard Function for Interval‐Censored Data
- Semiparametric Regression Analysis of Interval‐Censored Data
- A Proportional Hazards Model for Interval-Censored Failure Time Data
- Consistency of the GMLE with Mixed Case Interval‐Censored Data
- On Estimation of a Probability Density Function and Mode
This page was built for publication: Maximum approximate Bernstein likelihood estimation in proportional hazard model for interval-censored data
