Bayesian Analysis of Cancer Rates From SEER Program Using Parametric and Semiparametric Joinpoint Regression Models
From MaRDI portal
Publication:5252113
DOI10.1198/jasa.2009.0038zbMath1388.62320OpenAlexW1988419042MaRDI QIDQ5252113
Pulak Ghosh, Ram C. Tiwari, Sanjib Basu
Publication date: 29 May 2015
Published in: Journal of the American Statistical Association (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1198/jasa.2009.0038
Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15)
Related Items (8)
Semiparametric Bayesian Markov analysis of personalized benefit-risk assessment ⋮ Bayesian age-stratified joinpoint regression model: an application to lung and brain cancer mortality ⋮ A Bayesian joinpoint regression model with an unknown number of break-points ⋮ A Nested Dirichlet Process Analysis of Cluster Randomized Trial Data With Application in Geriatric Care Assessment ⋮ Semiparametric Bayesian approaches to joinpoint regression for population-based cancer survival data ⋮ A semiparametric Bayesian approach to the analysis of financial time series with applications to value at risk estimation ⋮ Estimation of Parameters in the Joinpoint Two-Regime Regression Model ⋮ Multivariate piecewise joint models with random change-points for skewed-longitudinal and survival data
Uses Software
This page was built for publication: Bayesian Analysis of Cancer Rates From SEER Program Using Parametric and Semiparametric Joinpoint Regression Models
