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Link-Based Models for Survival Data with Interval and Continuous Time Censoring

Naji Younes and John Lachin
Biometrics
Vol. 53, No. 4 (Dec., 1997), pp. 1199-1211
DOI: 10.2307/2533490
Stable URL: http://www.jstor.org/stable/2533490
Page Count: 13
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Since scans are not currently available to screen readers, please contact JSTOR User Support for access. We'll provide a PDF copy for your screen reader.
Link-Based Models for Survival Data with Interval and Continuous Time Censoring
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Abstract

We present a flexible family of link-based regression models with time-independent (baseline) covariates. Particular choices of the link function yield a proportional hazard or a proportional odds model, among others. The background hazard function in the model is estimated using B-splines. This yields a full likelihood under both continuous time and random interval censoring. Residuals for influence and goodness-of-fit are described. Two examples are shown, one in continuous time and the other under interval censoring.

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