Bayesian survival analysis using a MARS model. Academic Article

abstract

• A Bayesian multivariate adaptive regression spline fitting approach is used to model univariate and multivariate survival data with censoring. The possible models contain the proportional hazards model as a subclass and automatically detect departures from this. A reversible jump Markov chain Monte Carlo algorithm is described to obtain the estimate of the hazard function as well as the survival curve.

authors

• Mallick, Bani

published proceedings

• Biometrics

author list (cited authors)

• Mallick, B. K., Denison, D. G., & Smith, A. F.

citation count

• 18

complete list of authors

• Mallick, BK||Denison, DG||Smith, AF

publication date

• December 1999

publisher

• Oxford University Press (OUP)  Publisher

keywords

• Algorithms
• Bayes Theorem
• Biometry
• Female
• Humans
• Kidney Diseases
• Male
• Markov Chains
• Models, Statistical
• Monte Carlo Method
• Multivariate Analysis
• Proportional Hazards Models
• Rectal Neoplasms
• Stochastic Processes
• Survival Analysis

Digital Object Identifier (DOI)

• 10.1111/j.0006-341x.1999.01071.x

start page

• 1071

end page

• 1077

volume

• 55

issue

• 4

URL

• http://dx.doi.org/10.1111/j.0006-341x.1999.01071.x