Semiparametric Analysis of Treatment Effect via Failure Probability Ratio and the Ratio of Cumulative Hazards
From MaRDI portal
Publication:5167897
DOI10.1007/978-3-319-02651-0_21OpenAlexW116323543MaRDI QIDQ5167897
Publication date: 2 July 2014
Published in: Contemporary Developments in Statistical Theory (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/978-3-319-02651-0_21
survival analysisclinical trialsemiparametric analysissimultaneous inferencenon-proportional hazardsrisk ratiocumulative hazards
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Simultaneous confidence bands for ratios of survival functions via empirical likelihood.
- Empirical Likelihood for Cumulative Hazard Ratio Estimation with Covariate Adjustment
- Double Inverse-Weighted Estimation of Cumulative Treatment Effects Under Nonproportional Hazards and Dependent Censoring
- Nonparametric Estimation from Incomplete Observations
- Estimation of the 2-sample hazard ratio function using a semiparametric model
- Semiparametric regression analysis of two-sample current status data, with applications to tumorigenicity experiments
- Checking the Cox model with cumulative sums of martingale-based residuals
- Confidence Bands for Survival Curves Under the Proportional Hazards Model
- Predicting Survival Probabilities With Semiparametric Transformation Models
- Simultaneous Confidence Intervals for the Difference of Two Survival Functions
- Graphical comparison of cumulative hazards for two populations
- Semiparametric analysis of short-term and long-term hazard ratios with two-sample survival data
- Survival analysis with temporal covariate effects
- On the Cox Model With Time-Varying Regression Coefficients
This page was built for publication: Semiparametric Analysis of Treatment Effect via Failure Probability Ratio and the Ratio of Cumulative Hazards