Accelerated Hazards Regression Model and Its Adequacy for Censored Survival Data
From MaRDI portal
Publication:3078830
DOI10.1111/j.0006-341X.2001.00853.xzbMath1209.62231WikidataQ30660423 ScholiaQ30660423MaRDI QIDQ3078830
No author found.
Publication date: 1 March 2011
Published in: Biometrics (Search for Journal in Brave)
Applications of statistics to biology and medical sciences; meta analysis (62P10) Censored data models (62N01) Medical applications (general) (92C50) Testing in survival analysis and censored data (62N03)
Related Items (11)
A new semiparametric estimation method for accelerated hazards mixture cure model ⋮ A New Semiparametric Estimation Method for Accelerated Hazard Model ⋮ Some estimators and tests for accelerated hazards model using weighted cumulative hazard difference ⋮ Induced smoothing for the semiparametric accelerated hazards model ⋮ A goodness-of-fit test for generalised conditional linear models under left truncation and right censoring ⋮ On the estimators and tests for the semiparametric hazards regression model ⋮ Crossing hazard functions in common survival models ⋮ Adaptive lasso for accelerated hazards models ⋮ Accelerated hazards mixture cure model ⋮ Semiparametric sieve maximum likelihood estimation for accelerated hazards model with interval-censored data ⋮ Accelerated hazards model based on parametric families generalized with Bernstein polynomials
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Estimating regression parameters using linear rank tests for censored data
- Checking adequacy of the semiparametric location shift model with censored data
- A large sample study of rank estimation for censored regression data
- A class of rank test procedures for censored survival data
- Approximation Theorems of Mathematical Statistics
- Testing Goodness of Fit for Proportional Hazards Model with Censored Observations
- Goodness-of-Fit Analysis for the Cox Regression Model Based on a Class of Parameter Estimators
- Two-Sample Tests of Cramér--von Mises- and Kolmogorov--Smirnov-Type for Randomly Censored Data
- A simple test of the proportional hazards assumption
- Chi-squared goodness-of-fit tests for the proportional hazards regression model
- Rank tests of maximal power against Lehmann-type alternatives
- Linear rank tests with right censored data
- Two-sample goodness-of-fit tests for additive risk models with censored observations
- Checking the Cox model with cumulative sums of martingale-based residuals
- Semiparametric analysis of the additive risk model
- Maximum Likelihood Estimation in the Proportional Odds Model
- Simultaneous Confidence Intervals for the Difference of Two Survival Functions
- Calibration Regression of Censored Lifetime Medical Cost
- Semiparametric Inference in the Proportional Odds Regression Model
- Analysis of Accelerated Hazards Models
- Some Scale Estimators and Lack-of-Fit Tests for the Censored Two-Sample Accelerated Life Model
- A generalized Wilcoxon test for comparing arbitrarily singly-censored samples
- Clinical Trials
- Statistical models based on counting processes
This page was built for publication: Accelerated Hazards Regression Model and Its Adequacy for Censored Survival Data