| Publisher | SAS Institute | ||
|---|---|---|---|
| Format | 331.4KB PDF | Date added | 09 Mar 2005 |
| Topics | Data Mining - Analysis | ||
| Downloads | 56 | ||
It is well known that unobserved heterogeneity can produce misleading estimates in survival analysis. The goal of this paper is to show how to estimate and apply a single event timing model with heterogeneity to real data with SAS. Three different models are considered in this paper - an Exponential-gamma model, when individual-level time-to-event is exponentially distributed, and the event-rate is gamma-distributed, a Weibull-gamma model, when individual-level time-to-event has a Weibull distribution, and the eventrate has a gamma-distribution, a latent class Weibull model that allows for heterogeneity in both shape and scale parameters.
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