Median regression models for clustered, interval-censored survival data -- an application to prostate surgery study
From MaRDI portal
Publication:2087757
DOI10.1007/S10985-022-09570-8OpenAlexW4292083969MaRDI QIDQ2087757
Debajyoti Sinha, Piyali Basak, Stuart R. Lipsitz
Publication date: 21 October 2022
Published in: Lifetime Data Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s10985-022-09570-8
survival analysisquantile regressionprostate cancerGaussian copulatransform-both-sideslog-linear median regression
Applications of statistics to biology and medical sciences; meta analysis (62P10) Survival analysis and censored data (62Nxx)
Cites Work
- Unnamed Item
- Quantile regression with clustered data
- Using quantile regression for duration analysis
- The statistical analysis of interval-censored failure time data.
- Median Regression Model with Interval Censored Data
- A New Approach to Censored Quantile Regression Estimation
- Quantile regression for longitudinal data using the asymmetric Laplace distribution
- Power transformations to symmetry
- Bivariate Survival Models Induced by Frailties
- An Analysis of Transformations Revisited
- Regression Quantiles
- Reappraising Medfly Longevity
- Regression in a bivariate copula model
- Semiparametric Bayesian Survival Analysis using Models with Log‐linear Median
- Quantile regression for interval censored data
- Bayesian Semiparametric Proportional Odds Models
- Bayesian quantile regression
- Posterior Inference in Bayesian Quantile Regression with Asymmetric Laplace Likelihood
This page was built for publication: Median regression models for clustered, interval-censored survival data -- an application to prostate surgery study