Abstract
The analysis of censored time data in heterogeneous populations requires extensions of the Cox model to describe the distribution of duration times when the conditions may change according to various schemes. New estimators and tests are presented for a model with a non-stationary baseline hazard depending on the time at which the observed phenomenon starts, and a model where the regression coefficients are functions of an observed variable.
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Pons, O. (2002). Inference in Extensions of the Cox Model for Heterogeneous Populations. In: Huber-Carol, C., Balakrishnan, N., Nikulin, M.S., Mesbah, M. (eds) Goodness-of-Fit Tests and Model Validity. Statistics for Industry and Technology. Birkhäuser, Boston, MA. https://doi.org/10.1007/978-1-4612-0103-8_16
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DOI: https://doi.org/10.1007/978-1-4612-0103-8_16
Publisher Name: Birkhäuser, Boston, MA
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